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Deep learning library
PyTorch is an open-source deep learning library, originally developed by Meta Platforms and currently developed with support from the Linux Foundation
PyTorch
Programming library
PyTorch Lightning is an open-source Python library that provides a high-level interface for PyTorch, a popular deep learning framework. It is a lightweight
PyTorch_Lightning
General-purpose programming language
Python programming books pip (package manager) Pydoc NumPy SciPy Jupyter PyTorch Cython CPython Mojo Pygame PyQt PyGTK PyPy PyCon Google Colab – zero setup
Python_(programming_language)
Tabular comparison of deep learning software
artyom-beilis/pytorch_dlprim". GitHub. Jan 21, 2022. "OpenCL Support: Issue #488: pytorch/pytorch". GitHub. "Restricted Boltzmann Machines (RBMs) in PyTorch". GitHub
Comparison of deep learning software
Comparison_of_deep_learning_software
Open-source artificial intelligence ecosystem
match · pytorch/pytorch@6d8d5ba". GitHub. Retrieved 2021-10-12. "A model exporter for PyTorch by ezyang · Pull Request #2565 · pytorch/pytorch". GitHub
Open_Neural_Network_Exchange
American computer scientist and software engineer
accounted for only 8% of exclusive models on Hugging Face compared to 92% for PyTorch, which was also used in 80% of academic papers utilizing deep learning
Jeff_Dean
Subset of artificial intelligence
ROOT (TMVA with ROOT) scikit-learn Shogun TensorFlow Theano Torch / PyTorch / PyTorch Lightning Vowpal Wabbit Weka / MOA XGBoost Yooreeka KNIME RapidMiner
Machine_learning
tensor computations PyTorch – deep learning framework developed by Meta AI PyTorch Lightning – high-level framework built on top of PyTorch for organizing
Lists of open-source artificial intelligence software
Lists_of_open-source_artificial_intelligence_software
Open-source software for large language model inference
Berkeley contributed vLLM to the Linux Foundation in July 2024. In 2025, the PyTorch Foundation announced that vLLM had become a Foundation-hosted project.
VLLM
Machine learning technique
2024-11-16. "FlexAttention: The Flexibility of PyTorch with the Performance of FlashAttention – PyTorch". Dosovitskiy, Alexey; Beyer, Lucas; Kolesnikov
Attention_(machine_learning)
Algorithm for modelling sequential data
implemented in standard deep learning frameworks such as TensorFlow and PyTorch. Transformers is a library produced by Hugging Face that supplies transformer-based
Transformer_(deep_learning)
Artificial intelligence division of Meta Platforms
computer vision. FAIR released Torch deep-learning modules as well as PyTorch in 2017, an open-source machine learning framework, which was subsequently
Meta_AI
Title given to a small number of open-source software development leaders
Archived from the original on June 17, 2013. "PyTorch Governance | Maintainers — PyTorch 2.0 documentation". pytorch.org. Retrieved 2023-03-21. Trino and the
Benevolent_dictator_for_life
Neural network library
or metrics that can be used in native workflows in JAX, TensorFlow, or PyTorch — with one codebase." Keras 3 will be the default Keras version for TensorFlow
Keras
Microsoft open source library
for the distributed training and inference of deep learning models using PyTorch. The library is designed to reduce computing power and memory use and to
DeepSpeed
networks. OpenNN, a comprehensive C++ library implementing neural networks. PyTorch, an open-source Tensor and Dynamic neural network in Python. TensorFlow
List of artificial intelligence projects
List_of_artificial_intelligence_projects
Deep learning software
created by the Idiap Research Institute. Torch development moved in 2017 to PyTorch, a port of the library to Python. The core package of Torch is torch. It
Torch_(machine_learning)
Class of artificial neural networks
optimization problems. Open source libraries implementing GNNs include PyTorch Geometric (PyTorch), TensorFlow GNN (TensorFlow), Deep Graph Library (framework agnostic)
Graph_neural_network
Neural network based evaluation function
List of chess software Linscott, Gary. "nnue-pytorch/docs/nnue.md at master · official-stockfish/nnue-pytorch". Github. Retrieved December 12, 2020. Nasu
Efficiently updatable neural network
Efficiently_updatable_neural_network
Machine learning software library
of the most popular deep learning frameworks, alongside others such as PyTorch. It is free and open-source software released under the Apache License
TensorFlow
Chinese artificial intelligence company
commonly used operators for neural network training, similar to torch.nn in PyTorch.[citation needed] HaiScale Distributed Data Parallel (DDP): Parallel training
DeepSeek
Machine-learning framework
possible and works with various existing frameworks such as TensorFlow and PyTorch. The primary features of JAX are: Providing a unified NumPy-like interface
JAX_(software)
compiler. PyTorch — open-source machine learning library based on the Torch library. PyTorch Lightning — provides a high-level interface for PyTorch. QLattice
List_of_Python_software
Open-source machine learning platform
support. The component runs distributed or non-distributed TensorFlow, PyTorch, Apache MXNet, XGBoost, and MPI training jobs on Kubernetes. The KServe
Kubeflow
Model-free reinforcement learning algorithm
examples in PyTorch and TensorFlow," PlainSwipe, https://plainswipe.com/ppo-proximal-policy-optimization-explained-with-code-examples-in-pytorch-and-tensorflow/
Proximal_policy_optimization
Python library for machine learning
support, enabling the library to perform GPU computations by directly using PyTorch and CuPy arrays. This version also included bug fixes, improvements and
Scikit-learn
Advanced optimization framework for TensorFlow
compilation stack that can be used by major deep learning frameworks like JAX, PyTorch, and TensorFlow. The project focuses on supplying shared components for
Accelerated_Linear_Algebra
Artificial intelligence division of Meta Platforms
computer vision. FAIR released Torch deep-learning modules as well as PyTorch in 2017, an open-source machine learning framework, which was subsequently
Meta_Superintelligence_Labs
Software system for statistical models
from Host language Analytica C++ bayesloop Python Python Bean Machine PyTorch Python Venture Scheme C++ BayesDB SQLite, Python PRISM B-Prolog Infer.NET
Probabilistic_programming
Deep neural network for image classification, released 2016
part of the source code of a number of deep learning frameworks such as PyTorch, Apache MXNet, and Apple CoreML. In addition, third party developers have
SqueezeNet
Open-source Python library for scientific computing
python PyGObject PyGTK PyMC PyObjC Pygame PyQt PyroBot library PySide PyTorch PyTorch Lightning Python-Ogre Qiskit QLattice RDKit RPyC Sage Manifolds SageMath
SciPy
Cloud-based Jupyter Notebook environment
Compatible with popular machine learning libraries such as TensorFlow, PyTorch, and scikit-learn Idle timeouts and session limits Limited access to high-performance
Google_Colab
AI accelerator ASIC by Google
developed by Google for neural network machine learning. Tensorflow, Jax, and PyTorch are supported frameworks for TPU. Google began using TPUs internally in
Tensor_Processing_Unit
American computer scientist
Retrieved 2024-09-04. "PyTorch". www.pytorch.org. Retrieved 2023-10-28. "A BetterTransformer for Fast Transformer Inference". pytorch.org. Retrieved 2023-10-28
Michael_Gschwind
Python library for parallel computing
Skorch is a scikit-learn compatible wrapper for PyTorch, which enables Dask-ML to be used together with PyTorch. SciKeras is an scikit-learn compatible wrapper
Dask_(software)
American software engineer
framework and the functionality of the PyTorch framework. tinygrad aims to realize performance gains over PyTorch through a number of optimizations, including
George_Hotz
Optimization algorithm
Stochastic Optimization". arXiv:1412.6980 [cs.LG]. "torch.optim — PyTorch 2.0 documentation". pytorch.org. Retrieved 2023-10-02. Nguyen, Giang; Dlugolinsky, Stefan;
Stochastic_gradient_descent
Open-source software library developed by Yandex
library "The best machine learning tools" in 2017. along with TensorFlow, Pytorch, XGBoost and 8 other libraries. Kaggle listed CatBoost as one of the most
CatBoost
Nvidia software development kit for deep learning inference
processing units (GPUs). It can import models from frameworks such as PyTorch, TensorFlow, and ONNX, and compile them into optimized runtime engines
TensorRT
Concept of open-source software applied to AI
2002 and made open-source with Torch7 in 2011, and was later augmented by PyTorch, and TensorFlow. AlexNet was released in 2012. OpenAI was founded in 2015
Open-source artificial intelligence
Open-source_artificial_intelligence
Python web framework
python PyGObject PyGTK PyMC PyObjC Pygame PyQt PyroBot library PySide PyTorch PyTorch Lightning Python-Ogre Qiskit QLattice RDKit RPyC Sage Manifolds SageMath
Flask_(web_framework)
Software library for natural language processing
models trained by popular machine learning libraries like TensorFlow, PyTorch or MXNet through its own machine learning library Thinc. Using Thinc as
SpaCy
Techniques for lossy compression of neural networks
2024-09-10. "What Every User Should Know About Mixed Precision Training in PyTorch". PyTorch. Retrieved 2024-09-10. Idelbayev, Yerlan; Carreira-Perpiñán, Miguel
Model_compression
Voice conversion software
minutes of clear audio samples. These voice models can be saved as .pth (PyTorch) files. While this capability facilitates numerous creative applications
Retrieval-based Voice Conversion
Retrieval-based_Voice_Conversion
Python library for numerical programming
python PyGObject PyGTK PyMC PyObjC Pygame PyQt PyroBot library PySide PyTorch PyTorch Lightning Python-Ogre Qiskit QLattice RDKit RPyC Sage Manifolds SageMath
NumPy
School in Telangana State, Begumpet, Secunderabad, India
@soumithchintala (25 May 2021). "Soumith speaks about Satya Nadella launching PyTorch at Azure" (Tweet) – via Twitter. "Hyderabad Public School, notable alumni"
The Hyderabad Public School, Begumpet
The_Hyderabad_Public_School,_Begumpet
Medical imaging software
challenges and requirements of DL applied to medical imaging. Built on top of PyTorch, a popular DL library, MONAI provides a high-level interface for performing
Medical_open_network_for_AI
Python distribution
python PyGObject PyGTK PyMC PyObjC Pygame PyQt PyroBot library PySide PyTorch PyTorch Lightning Python-Ogre Qiskit QLattice RDKit RPyC Sage Manifolds SageMath
Anaconda (Python distribution)
Anaconda_(Python_distribution)
Concept in machine learning
of backpropagation, can be performed using software libraries such as PyTorch and TensorFlow. Computations are often performed on graphics processing
Tensor_(machine_learning)
Suite of reinforcement learning algorithms
Jingliang-Duan/DSAC-T. Both iterations have been integrated into an advanced, Pytorch-powered reinforcement learning toolkit named GOPS: GOPS (General Optimal
Distributional Soft Actor Critic
Distributional_Soft_Actor_Critic
Computing technique used to achieve parallelism
"WebGPU Shading Language". www.w3.org. "PyTorch/XLA SPMD User Guide — PyTorch/XLA master documentation". docs.pytorch.org. "Introduction to parallel programming
Single_program,_multiple_data
Floating-point number format used in computer processors
Intel oneAPI Math Kernel Library, AMD ROCm, AMD Optimizing CPU Libraries, PyTorch, and TensorFlow. On these platforms, bfloat16 may also be used in mixed-precision
Bfloat16 floating-point format
Bfloat16_floating-point_format
Python library for data analysis
python PyGObject PyGTK PyMC PyObjC Pygame PyQt PyroBot library PySide PyTorch PyTorch Lightning Python-Ogre Qiskit QLattice RDKit RPyC Sage Manifolds SageMath
Pandas_(software)
Generating high-resolution video frames from given low-resolution ones
390 PyTorch TITAN X YES NERCMS PFNL 30.91 0.8782 28.98 0.8307 6.020 6.020 PyTorch GTX 1080 Ti YES XJTU-IAIR FSTDN — — 28.86 0.8301 — 13.000 PyTorch GTX
Video_super-resolution
Software library for LLM inference
converting models developed with a different machine learning library such as PyTorch. GGUF focuses on quantization, the act of reducing precision in the model
Llama.cpp
Organizing components structures and behaviors for any simple to complex system
neural networks) and train models using frameworks like TensorFlow or PyTorch. Deployment and Serving: Deploy trained models to production environments
Systems_design
Binary file format for storing machine-learning models
converting models developed with a different machine-learning library such as PyTorch. GGUF has become the standard format for distributing quantized large language
GGUF
Diffusion model over latent embedding space
dynamics (SMLD). The paper was accompanied by a software package written in PyTorch release on GitHub. A 2020 paper proposed the Denoising Diffusion Probabilistic
Latent_diffusion_model
residentmario.github.io. Retrieved 2024-09-10. "What Every User Should Know About Mixed Precision Training in PyTorch". PyTorch. Retrieved 2024-09-10.
Mixed-precision_arithmetic
Process of analyzing large data sets
algorithms (development of it moved mostly to the much more used Python-based PyTorch) UIMA: The UIMA (Unstructured Information Management Architecture) is a
Data_mining
Deep learning training framework
open-source distributed deep learning training framework for TensorFlow, Keras, PyTorch and Apache MXNet. It is designed to scale existing single-GPU training
Horovod_(machine_learning)
Class of artificial neural network
deep learning framework used to train and deploy deep neural networks. PyTorch: Tensors and Dynamic neural networks in Python with GPU acceleration. TensorFlow:
Recurrent_neural_network
Probability distribution
Neural Information Processing Systems (pp. 13266-13276). PyTorch Distributions. https://pytorch.org/docs/stable/distributions.html#continuousbernoulli Tensorflow
Continuous Bernoulli distribution
Continuous_Bernoulli_distribution
Python web framework
python PyGObject PyGTK PyMC PyObjC Pygame PyQt PyroBot library PySide PyTorch PyTorch Lightning Python-Ogre Qiskit QLattice RDKit RPyC Sage Manifolds SageMath
Django_(web_framework)
Dynamic programming language
use), Jan Vitek, Xiaoye Sherry Li, and Soumith Chintala, a co-creator of PyTorch. JuliaCon grew to 43,000 unique attendees and more than 300 presentations
Julia_(programming_language)
Integrated circuit technology
"Hananel-Hazan/bindsnet: Simulation of spiking neural networks (SNNs) using PyTorch". GitHub. March 31, 2020. "002.08 N.I.C.E. Workshop 2014: Towards Intelligent
Neuromorphic_computing
C++ framework for compiler development
and torch-mlir, which brings MLIR-based compilation capabilities to the PyTorch ecosystem. MLIR continues to evolve as part of the LLVM Project and follows
MLIR_(software)
Computational approach
created a hyper-dimensional computing library that is built on top of PyTorch. HDC algorithms can replicate tasks long completed by deep neural networks
Hyperdimensional_computing
Non-profit technology consortium to develop the Linux operating system
Foundation". Archived from the original on 2022-12-16. Retrieved 2022-12-16. "PyTorch Foundation the First Six Months". Archived from the original on 2023-03-30
Linux_Foundation
Toolkit for deploying inference neural network model on Intel hardware
found in the Hugging Face repository. The supported model formats are: PyTorch TensorFlow TensorFlow Lite ONNX (including formats that may be serialized
OpenVINO
Programming paradigm
Retrieved 2019-06-24. "TensorFlow: Static Graphs". Tutorials: Learning PyTorch. PyTorch.org. Retrieved 2019-03-04. Innes, Michael (2018). "Don't Unroll Adjoint:
Differentiable_programming
Ravanelli, Mirco; Parcollet, Titouan; Bengio, Yoshua (2018-11-18). "The PyTorch-Kaldi Speech Recognition Toolkit". arXiv:1811.07453 [eess.AS]. Li, Longfei;
FMLLR
British semiconductor company
for AI makes it transparently possible,[clarification needed] e.g. has PyTorch support.[citation needed] Companies portal AI accelerator Massively parallel
Graphcore
Parallel computing platform: GPGPU libraries and application programming interface
the Linux kernel. Various deep learning frameworks have a ROCm backend: PyTorch TensorFlow ONNX MXNet CuPy MIOpen Caffe Iree (which uses LLVM Multi-Level
ROCm
Models used to calculate the orbital state of a satellite
algorithm implementations, and TLE interpretation in some cases: δSGP4 A PyTorch-based differentiable reformulation of SGP4 providing gradients of orbital
Simplified perturbations models
Simplified_perturbations_models
S-shaped curve
Physique (in French). 10: 113–121. Retrieved 3 December 2014. "Sigmoid". PyTorch 1.10.1 documentation. Retrieved 13 October 2025. "expit {clusterPower}"
Logistic_function
computing library Orange – data mining tool pandas – data manipulation library PyTorch – machine learning and deep learning framework Python R – statistical computing
List of free and open-source software packages
List_of_free_and_open-source_software_packages
Machine learning technique
Processing Systems. 31. Curran Associates, Inc. "BatchNorm2d — PyTorch 2.4 documentation". pytorch.org. Retrieved 2024-09-26. Zhang, Aston; Lipton, Zachary;
Normalization (machine learning)
Normalization_(machine_learning)
Nonprofit deep learning and AI research group
library for deep learning called fastai (without a period), sitting atop PyTorch. Google Cloud was the first to announce its support. This open-source framework
Fast.ai
Image dataset
whitened, before further processing by neural networks. For example, in PyTorch, ImageNet images are by default normalized by dividing the pixel values
ImageNet
Machine learning software
Networks announced the transition of its development effort from Chainer to PyTorch and it will only provide maintenance patches after releasing v7. Chainer
Chainer
Subfield of artificial intelligence
logical and relational reasoning, which can be integrated in Python and PyTorch learning module SymbolicAI is a compositional differentiable programming
Neuro-symbolic_AI
Hyperparameter optimization framework
and frameworks: Catboost Dask Fast.ai Keras LightGBM MLflow PyTorch PyTorch Ignite PyTorch Lightning TensorBoard TensorFlow tf.keras Weights & Biases XGBoost
Optuna
SimPy, Matplotlib, PyDy, OpenCV, OpenMDAO, Scikit-learn, SymPy,TensorFlow, PyTorch Product lifecycle Vehicle dynamics Awesome-Automotive – GitHub automotive
List of automotive engineering software
List_of_automotive_engineering_software
Japanese startup
development of the open source deep learning framework Chainer and transition to PyTorch. June 23, 2020: The supercomputer MN-3 equipped with the deep learning
Preferred_Networks
Novel generative adversarial network
on Nvidia's CUDA software, GPUs, and Google's TensorFlow, or Meta AI's PyTorch, which supersedes TensorFlow as the official implementation library in
StyleGAN
Machine learning model for vision processing
Convolutional neural network Attention (machine learning) Perceiver Deep learning PyTorch TensorFlow All positional embeddings in Dosovitskiy et al. (2021) all performed
Vision_transformer
Type of activation function
openly available LLM to date". {{cite web}}: Missing or empty |url= (help) "PyTorch Leaky ReLU docs". "TensorFlow Leaky ReLU docs". He, Kaiming; Zhang, Xiangyu;
Rectified_linear_unit
Overview of and topical guide to deep learning
Flux JAX Horovod Keras Microsoft Cognitive Toolkit MindSpore mlpack PyTorch PyTorch Lightning TensorFlow Theano Torch EDLUT Emergent Encog JOONE Neuroph
Outline_of_deep_learning
Artificial intelligence research collective
March 2023). GPT-NeoX: Large Scale Autoregressive Language Modeling in PyTorch (Preprint). doi:10.5281/zenodo.5879544. "CLIP-Guided Diffusion". EleutherAI
EleutherAI
in a vast ecosystem of libraries, including for deep learning, such as PyTorch, TensorFlow, Keras, Google JAX. The library NumPy can be used for manipulating
List of programming languages for artificial intelligence
List_of_programming_languages_for_artificial_intelligence
Annual conference event held by Microsoft
Metrics Advisor Azure Video Analyzer Azure Cognitive Services Power Fx PyTorch Enterprise on Microsoft Azure Microsoft Build of OpenJDK Windows Subsystem
Microsoft_Build
Deep learning framework
neural network (RNN). At the end of March 2018, Caffe2 was merged into PyTorch. Comparison of deep learning software "BVLC/caffe". GitHub. 31 March 2020
Caffe_(software)
analysis with LLMs Filtered through license detection and deduplication. PyTorch models. Python scripts. Image classification, object detection, image segmentation
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
Multi-language machine learning library
shift in focus by its major backer, Amazon, towards other frameworks like PyTorch. The project saw no new releases for over a year, and there were very few
Apache_MXNet
Internet chess server
development of Torch is supported by many open-source tools, including pytorch-nnue, Cutechess, and OpenBench. Torch developers have stated that the entire
Chess.com
Explainable AI technique
(FAccT)". "PyTorch image-specific saliency maps". GitHub. "Guided Backpropagation with PyTorch and TensorFlow". 21 December 2021. "PyTorch implementation
Class_activation_mapping
List of software related to the MATLAB programming language
Armadillo ALGLIB BLAS LAPACK SLATEC NumPy SciPy pandas Matplotlib TensorFlow PyTorch Wikibooks has a book on the topic of: MATLAB Programming List of mathematical
List of MATLAB software and tools
List_of_MATLAB_software_and_tools
Type of artificial neural network
Network Implementation in PyTorch, fixing several bugs in previous implementations, 2018-04-16, retrieved 2018-04-16 Pytorch code: Capsule Routing via
Capsule_neural_network
Artificial neural network that mimics neurons
spiking neural networks and implementing gradient-based training using PyTorch. Efforts to implement hardware-based spiking neural networks (SNNs) began
Spiking_neural_network
PYTORCH
PYTORCH
PYTORCH
PYTORCH
Girl/Female
Arabic, German, Indian, Kurdish, Muslim, Parsi
Cute Like a Flower; A Flower; Sun Plant; Stone-crop
Boy/Male
Hindu, Indian, Telugu
Cool Person
Male
Finnish
Finnish form of Latin Jacobus, JAAKO means "supplanter."
Girl/Female
Hindu, Indian, Marathi
Belongs to Lord
Girl/Female
Indian
Kind affectionate
Male
Egyptian
, the name of a satrap or viceroy.
Boy/Male
Arabic, Muslim
Antecedent; Preceding
Boy/Male
Indian, Punjabi, Sikh
Strong; Brave
Girl/Female
American, Bengali, French, Hindu, Indian, Kannada, Latin, Malayalam, Marathi, Spanish, Telugu
Gate of Heaven
Boy/Male
Muslim
Conqueror. Victor. Dominant.
PYTORCH
PYTORCH
PYTORCH
PYTORCH
PYTORCH