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161 search results found
Pytorch
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74,794
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pytorch Handbook
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18,594
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友
Ivy
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13,904
The Unified AI Framework
Pytorch Book
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11,409
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Micrograd
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6,997
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Flashlight
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5,146
A C++ standalone library for machine learning
Megengine
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4,711
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
Pytorch Examples
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4,170
Simple examples to introduce PyTorch
Djl
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3,708
An Engine-Agnostic Deep Learning Framework in Java
Interviews.ai
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3,146
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Propel
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2,782
Differential Programming in JavaScript.
Pennylane
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2,170
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Numpyro
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1,966
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Pytorch Cpp
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1,710
C++ Implementation of PyTorch Tutorials for Everyone
Machine_learning_refined
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1,574
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Dfdx
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1,502
Deep learning in Rust, with shape checked tensors and neural networks
Owl
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1,178
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Arraymancer
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1,177
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Awesome Jax
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1,156
JAX - A curated list of resources https://github.com/google/jax
K2
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985
FSA/FST algorithms, differentiable, with PyTorch compatibility.
Pytorch_sparse
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919
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
Opt_einsum
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684
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
Norse
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580
Deep learning with spiking neural networks (SNNs) in PyTorch.
Torchprof
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557
PyTorch layer-by-layer model profiler
Roialign.pytorch
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513
RoIAlign & crop_and_resize for PyTorch
Qml
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490
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
Torch
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456
R Interface to Torch
Autodidact
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450
A pedagogical implementation of Autograd
Deep Learning From Scratch 3
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426
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
Rust Autograd
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413
Tensors and differentiable operations (like TensorFlow) in Rust
Nnmnkwii
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375
Library to build speech synthesis systems designed for easy and fast prototyping.
Neural Fingerprint
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335
Convolutional nets which can take molecular graphs of arbitrary size as input.
How To Read Pytorch
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325
Quick, visual, principled introduction to pytorch code through five colab notebooks.
Svae
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302
code for Structured Variational Autoencoders
Xshinnosuke
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282
Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration
Sampyl
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277
MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
Hypergrad
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268
Exploring differentiation with respect to hyperparameters
Pytorch_fft
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264
PyTorch wrapper for FFTs
Mnist_center_loss_pytorch
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254
A PyTorch implementation of center loss on MNIST
Airlab
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221
Image registration laboratory for 2D and 3D image data
Backprop
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180
Heterogeneous automatic differentiation ("backpropagation") in Haskell
Mygrad
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166
Drop-in autodiff for NumPy.
Autograd.jl
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160
Julia port of the Python autograd package.
Pytorch Camp
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143
Bpnp
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142
Back-propagatable PnP
Pytorch1.0 Cn
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139
PyTorch 1.0 官方文档 中文版,欢迎关注微信公众号:磐创AI
Num.cr
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139
Scientific computing in pure Crystal
Vtl
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134
The V Tensor Library
Pytorch_practice
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128
这是我学习 PyTorch 的笔记对应的代码,点击查看 PyTorch 笔记在线电子书
Neograd
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117
A deep learning framework created from scratch with Python and NumPy
Slick Dnn
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116
Tiny and elegant deep learning library
Scorch
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104
scorch is a deep learning framework in Scala inspired by PyTorch
Infermo
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102
Tensors and dynamic Neural Networks in Mojo
Deep Learning With Pytorch A 60 Minute Blitz Cn
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95
PyTorch1.0 深度学习:60分钟入门与实战(Deep Learning with PyTorch: A 60 Minute Blitz 中文翻译与学习)
Pytorch Containers
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85
Torch Containers simplified in PyTorch
Autograd From Scratch
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82
Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.
Easytorch
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75
基于Python的numpy实现的简易深度学习框架,包括自动求导、优化器、layer等的实现。
Noe
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70
A neural network framework (with autograd!) for object pascal 🧠
Legume
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68
🌱 Guided-mode expansion of photonic crystal slabs
Minigrad
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66
A minimal implementation of autograd (in pure Python) 🍰
Dl4s
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64
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
Lab
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63
A generic interface for linear algebra backends
Hetu
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62
A high-performance distributed deep learning system targeting large-scale and automated distributed training.
Tree Regularization Public
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59
Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"
Mlcc
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58
This repository is created to teach students about Machine Learning and Deep Learning using TensorFlow.
Autograd
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57
coding an autograd from scratch
Grain
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56
autograd mir and CUDA library for dynamic neural networks in D.
Neureka
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53
A platform independent tensor library with autograd for the JVM
Knet The Julia Dope
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52
An interactive book on deep learning. Much easy, so Knet. Wow.
Custos
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48
A minimal OpenCL, CUDA, Vulkan and host CPU array manipulation engine / framework.
Pytorchcrashcourse
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44
A few notebooks on deep learning with PyTorch
Pytorch Tutorial On Google Colab
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44
PyTorch Tutorial on google colaboratory.
Sax
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44
S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.
Neural Style Autograd
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43
autograd version of https://github.com/jcjohnson/neural-style
Paradox
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42
Deep-Learning framework from scratch
Neural_reaction_fingerprint
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42
Qualia2.0
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41
Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
Differentiable Atomistic Potentials
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41
Automatically differentiable atomistic potentials for molecular simulations
Pydynet
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36
NumPy实现类PyTorch的动态计算图和神经网络(DNN, CNN, RNN)
Pytorch Examples Cn
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34
用例子学习PyTorch1.0(Learning PyTorch with Examples 中文翻译与学习)
Pytorch Handbook
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33
Eddl
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33
European Distributed Deep Learning (EDDL) library. A general-purpose library initially developed to cover deep learning needs in healthcare use cases within the DeepHealth project.
Numpy Nn Model
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32
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
Tfd
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31
Tensorflow wrapper for D
Matrix Sqrt
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31
matrix square root and its gradient
Tigercontrol
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31
Google AI Princeton control framework
Pytorch Lif Autograd
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31
Voodoo
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30
A working machine learning framework in pure Mojo 🔥
Pytorch
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29
Windows port of PyTorch. Alpha quality
Pyerrors
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29
Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
Autograd Forward
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29
Autograd extension for forward mode autodiff
Mojograd
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25
Implementation of Karpathy's micrograd in Mojo 🔥
Lemonml
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24
🍋Machine Learning library from scratch.🍋
Flint
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24
A toy deep learning framework implemented in pure Numpy from scratch. Aka homemade PyTorch lol.
Golem
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23
A simple tensor library for the computational graph on CPU
Rugrads
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22
A proof of concept automatic differentiation library for Rust
Knetlayers.jl
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20
Useful Layers for Knet
Klujax
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20
Solve sparse linear systems in JAX using the KLU algorithm
Varz
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19
Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX
Workshop Invdesign
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18
📐 Workshop material for optical inverse design and automatic differentiation
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