Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with autograd
A curated list of projects in awesome lists tagged with autograd .
https://github.com/pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
autograd deep-learning gpu machine-learning neural-network numpy python tensor
Last synced: 21 Dec 2024
https://github.com/ivy-llc/ivy
The Unified AI Framework
abstraction autograd deep-learning gpu ivy jax machine-learning mxnet neural-network numpy python pytorch template tensorflow
Last synced: 16 Dec 2024
https://github.com/chenyuntc/pytorch-book
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》)
autograd caption charrnn deep-learning gan image-classification jupyter-notebook neural-style neuraltalk nn pytorch pytorch-tutorials pytorch-tutorials-cn tensor tensorboard visdom
Last synced: 17 Dec 2024
https://github.com/flashlight/flashlight
A C++ standalone library for machine learning
autograd cpp deep-learning flashlight machine-learning ml neural-network
Last synced: 17 Dec 2024
https://github.com/megengine/megengine
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
autograd deep-learning gpu machine-learning megengine numpy python tensor
Last synced: 17 Dec 2024
https://github.com/MegEngine/MegEngine
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
autograd deep-learning gpu machine-learning megengine numpy python tensor
Last synced: 27 Oct 2024
https://github.com/boltzmannentropy/interviews.ai
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.
artificial-intelligence autograd bayesian-statistics convolutional-neural-networks data-science deep-learning ensemble-learning feature-extraction graduate-school information-theory interview-preparation jax jobs logistic-regression loss-functions machine-learning python pytorch pytorch-tutorial
Last synced: 20 Dec 2024
https://github.com/BoltzmannEntropy/interviews.ai
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.
artificial-intelligence autograd bayesian-statistics convolutional-neural-networks data-science deep-learning ensemble-learning feature-extraction graduate-school information-theory interview-preparation jax jobs logistic-regression loss-functions machine-learning python pytorch pytorch-tutorial
Last synced: 30 Oct 2024
https://github.com/deepjavalibrary/djl
An Engine-Agnostic Deep Learning Framework in Java
ai autograd deep-learning deep-neural-networks djl java machine-learning ml mxnet neural-network onnxruntime pytorch tensorflow
Last synced: 17 Dec 2024
https://github.com/PennyLaneAI/pennylane
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.
autograd automatic-differentiation cirq deep-learning differentiable-computing hacktoberfest jax machine-learning neural-network optimization python pytorch qiskit qml quantum quantum-chemistry quantum-computing quantum-machine-learning strawberryfields tensorflow
Last synced: 30 Oct 2024
https://github.com/pennylaneai/pennylane
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.
autograd automatic-differentiation cirq deep-learning differentiable-computing hacktoberfest jax machine-learning neural-network optimization python pytorch qiskit qml quantum quantum-chemistry quantum-computing quantum-machine-learning strawberryfields tensorflow
Last synced: 16 Dec 2024
https://github.com/prabhuomkar/pytorch-cpp
C++ Implementation of PyTorch Tutorials for Everyone
artificial-intelligence autograd colab convolutional-neural-network cplusplus datasets generative-adversarial-network interactive-tutorials language-model libtorch machine-learning neural-network pytorch recurrent-neural-network scriptmodule-files tensors torch tutorial
Last synced: 20 Dec 2024
https://github.com/coreylowman/dfdx
Deep learning in Rust, with shape checked tensors and neural networks
autodiff autodifferentiation autograd backpropagation cuda cuda-kernels cuda-support cuda-toolkit cudnn deep-learning deep-neural-networks gpu gpu-acceleration gpu-computing machine-learning neural-network rust rust-lang tensor
Last synced: 17 Dec 2024
https://github.com/neonwatty/machine-learning-refined
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
artificial-intelligence autograd collab data-science deep-learning docker genai jax jupyter-notebook lecture-notes machine-learning machine-learning-algorithms mathematical-optimization neural-network numpy python
Last synced: 18 Dec 2024
https://github.com/neonwatty/machine_learning_refined
Notes, Python demos / notebooks, and free chapters for the 2nd edition of the university textbook "Machine Learning Refined".
artificial-intelligence autograd collab data-science deep-learning genai jax jupyter-notebook lecture-notes machine-learning machine-learning-algorithms mathematical-optimization neural-network numpy python slides
Last synced: 12 Dec 2024
https://github.com/jermwatt/machine_learning_refined
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
artificial-intelligence autograd collab data-science deep-learning jax jupyter-notebook lecture-notes machine-learning machine-learning-algorithms mathematical-optimization neural-network numpy python slides
Last synced: 08 Nov 2024
https://github.com/owlbarn/owl
Owl - OCaml Scientific Computing @ https://ocaml.xyz
algorithmic-differentation autograd automatic-differentiation gsl linear-algebra machine-learning maths matrix mcmc ndarray neural-network numerical-calculations optimization plotting regression scientific-computing sparse-linear-systems statistical-functions statistics topic-modeling
Last synced: 19 Dec 2024
https://github.com/mratsim/Arraymancer
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
autograd automatic-differentiation cuda cudnn deep-learning gpgpu gpu-computing high-performance-computing iot linear-algebra machine-learning matrix-library multidimensional-arrays ndarray neural-networks nim opencl openmp parallel-computing tensor
Last synced: 08 Nov 2024
https://github.com/mratsim/arraymancer
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
autograd automatic-differentiation cuda cudnn deep-learning gpgpu gpu-computing high-performance-computing iot linear-algebra machine-learning matrix-library multidimensional-arrays ndarray neural-networks nim opencl openmp parallel-computing tensor
Last synced: 21 Dec 2024
https://mratsim.github.io/Arraymancer/
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
autograd automatic-differentiation cuda cudnn deep-learning gpgpu gpu-computing high-performance-computing iot linear-algebra machine-learning matrix-library multidimensional-arrays ndarray neural-networks nim opencl openmp parallel-computing tensor
Last synced: 14 Nov 2024
https://github.com/rusty1s/pytorch_sparse
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
autograd pytorch sparse sparse-matrices
Last synced: 17 Dec 2024
https://github.com/oreilly-japan/deep-learning-from-scratch-3
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
autograd automatic-differentiation deep-learning gpu nueral-networks python
Last synced: 15 Dec 2024
https://github.com/norse/norse
Deep learning with spiking neural networks (SNNs) in PyTorch.
autograd deep-learning gpu machine-learning neural-network neuromorphic pytorch pytorch-lightning spiking-neural-networks tensor
Last synced: 19 Dec 2024
https://github.com/mlverse/torch
R Interface to Torch
autograd deep-learning r torch
Last synced: 21 Dec 2024
https://github.com/PennyLaneAI/qml
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
autograd automatic-differentiation demo key-concepts neural-networks pytorch qml quantum-chemistry quantum-computing quantum-machine-learning tensorflow tutorials
Last synced: 03 Nov 2024
https://github.com/raskr/rust-autograd
Tensors and differentiable operations (like TensorFlow) in Rust
autograd automatic-differentiation deep-learning machine-learning neural-networks rust tensor
Last synced: 11 Nov 2024
https://github.com/airlab-unibas/airlab
Image registration laboratory for 2D and 3D image data
autograd image-alignment image-registration pytorch rapid-prototyping
Last synced: 27 Oct 2024
https://github.com/PKU-DAIR/Hetu
A high-performance distributed deep learning system targeting large-scale and automated distributed training.
artificial-intelligence autograd data-science deep-learning deep-neural-networks distributed-systems distributed-training embeddings gpu high-dimensional machine-learning python state-of-the-art
Last synced: 28 Oct 2024
https://github.com/rsokl/mygrad
Drop-in autodiff for NumPy.
autodiff autodifferentiation autograd backpropagate deep-learning numpy
Last synced: 21 Dec 2024
https://github.com/denizyuret/autograd.jl
Julia port of the Python autograd package.
autograd automatic-differentiation data-science deep-learning knet machine-learning neural-networks
Last synced: 03 Dec 2024
https://github.com/basalt-org/basalt
A Machine Learning framework from scratch in Pure Mojo 🔥
ai autograd deep-learning deep-neural-networks machine-learning ml mojo neural-network tensor
Last synced: 21 Nov 2024
https://github.com/crystal-data/num.cr
Scientific computing in pure Crystal
autograd crystal gpu-accelerated-routines linear-algebra machine-learning tensors
Last synced: 21 Dec 2024
https://github.com/vlang/vtl
The V Tensor Library
autograd deep-learning hacktoberfest linear-algebra machine-learning matrix-library multidimensional-arrays ndarray neural-networks tensor v
Last synced: 15 Nov 2024
https://github.com/TilliFe/Infermo
Tensors and dynamic Neural Networks in Mojo
ai autodiff autograd autograd-engine automatic-differentiation conv2d deep-learning ml mlp mnist modular mojo neural-network training transformer
Last synced: 24 Sep 2024
https://github.com/eduardoleao052/autograd-from-scratch
Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.
autograd automatic-differentiation deep-learning from-scratch
Last synced: 05 Nov 2024
https://github.com/palle-k/DL4S
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
autograd automatic-differentiation convolutional-neural-networks deep-learning deep-neural-networks derivatives gradient-descent machine-learning neural-networks optimizers recurrent-networks recurrent-neural-networks swift swift-machine-learning tensor
Last synced: 09 Dec 2024
https://github.com/amdegroot/pytorch-containers
Torch Containers simplified in PyTorch
autograd complex-architectures pytorch pytorch-containers torch
Last synced: 14 Nov 2024
https://github.com/kaslanarian/pydynet
NumPy实现类PyTorch的动态计算图和神经网络框架(MLP, CNN, RNN, Transformer)
autograd cnn cuda cupy deep-learning-framework numpy python pytorch pytorch-implementation rnn transformer
Last synced: 15 Dec 2024
https://github.com/bat67/pytorch-examples-cn
用例子学习PyTorch1.0（Learning PyTorch with Examples 中文翻译与学习）
autograd learning-pytorch numpy pytorch pytorch-nn pytorch-tutorial tensor translation
Last synced: 20 Nov 2024
https://github.com/elftausend/custos
A minimal OpenCL, CUDA, Vulkan and host CPU array manipulation engine / framework.
array-manipulations autograd automatic-differentiation cpu cuda cuda-support custos framework gpu lazy-evaluation no-std opencl rust vulkan wgsl
Last synced: 18 Dec 2024
https://github.com/flaport/sax
S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.
ann autograd circuit deep-learning jax optimization photonic-circuit photonic-optimization photonics physics-simulation s-parameters simulation simulation-framework simulations xla
Last synced: 19 Dec 2024
https://github.com/fjosw/pyerrors
Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.
autocorrelation autograd automatic-differentiation condensed-matter correlation data-analysis error-propagation lattice-field-theory lattice-qcd markov-chain monte-carlo particle-physics physics python qcd statistical-analysis statistical-mechanics
Last synced: 15 Dec 2024
https://github.com/marco-christiani/zigrad
A deep learning framework built on an autograd engine with high level abstractions and low level control.
autograd deep-learning machine-learning neural-network tensor zig zig-package ziglang
Last synced: 30 Nov 2024
https://github.com/flaport/klujax
Solve sparse linear systems in JAX using the KLU algorithm
autograd jax klu klu-algorithm python solve solver sparse-linear-solver sparse-linear-systems sparse-matrices sparse-matrix suitesparse
Last synced: 17 Dec 2024
https://github.com/jewelltaylor/camlgrad
Toy autograd engine in OCaml with Apple Accelerate backend
autograd deep-learning machine-learning macos neural-network ocaml tensor
Last synced: 12 Oct 2024
https://github.com/renovamen/flint
A toy deep learning framework implemented in pure Numpy from scratch. Aka homemade PyTorch lol.
autodiff autodifferentiation autograd deep-learning neural-network numpy
Last synced: 10 Nov 2024
https://github.com/pit-ray/vim-autograd
Automatic differentiation library written in pure Vim script.
autograd deep-learning neural-network vim vim-autograd vim8 vim9 vim9script vimscript
Last synced: 13 Nov 2024
https://github.com/ise-uiuc/nablafuzz
Fuzzing Automatic Differentiation in Deep-Learning Libraries (ICSE'23)
autodiff autograd deep-learning fuzzing jax oneflow pytorch tensorflow
Last synced: 19 Nov 2024
https://github.com/3outeille/yaae
Yaae: Yet another autodiff engine (written in Numpy).
autodifferentiation autograd numpy python
Last synced: 28 Nov 2024
https://github.com/elinx/ugrad
A C++ implementation of the scalar-valued autograd engine micrograd
autodiff autograd deep-learning machine-learning-systems micrograd tinygrad
Last synced: 30 Oct 2024
https://github.com/goktug97/minigrad
Autograd Engine for Python Written in Python C-API for Speed
autograd neural-network python python-c-api
Last synced: 11 Nov 2024
https://github.com/samrere/pytortto
deep learning from scratch. uses numpy/cupy, trains in GPU, follows pytorch API
autograd cupy deep-learning gpu machine-learning machine-learning-from-scratch neural-network neural-networks-from-scratch numpy numpy-neural-network
Last synced: 15 Nov 2024
https://github.com/jaykef/micrograd.c
Port of Karpathy's micrograd in pure C. Micrograd is a tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.
Last synced: 29 Oct 2024
https://github.com/camdavidsonpilon/autograd-gamma
NotImplementedError: VJP of gammainc wrt argnum 0 not defined
autodiff autograd beta derivative gamma
Last synced: 28 Oct 2024
https://github.com/easternjournalist/diffnum
A light-weighted and flexible C++ differentiable programming library. Just replace float and double with it, and it does Auto-Grad for you...
Last synced: 30 Nov 2024
https://github.com/tanmoyio/gradman
Baby deep learning library🐣
autograd deep-learning deep-neural-networks
Last synced: 23 Oct 2024
https://github.com/cifkao/jax-spectral
Short-time Fourier transform (STFT) for JAX
autograd fft jax machine-learning scipy signal-processing spectral-analysis spectrum stft
Last synced: 16 Oct 2024
https://github.com/zanussbaum/surfgrad
webgpu autograd library
autograd inference machine-learning tensor webgpu wsgl
Last synced: 18 Nov 2024
https://github.com/mratsim/nim-rmad
Autograd (backpropagation, reverse-mode auto differentiation) in Nim
autograd backpropagation deep-learning gradient-descent nim
Last synced: 11 Dec 2024
https://github.com/mfschubert/agjax
Jax wrapper for autograd-differentiable functions
Last synced: 05 Nov 2024
https://github.com/34j/boost-loss
Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.
autograd catboost custom-loss custom-loss-functions evaluation-metrics gbdt gradient-boosting hacktoberfest lightgbm pytorch scikit-learn sklearn sklearn-compatible xgboost
Last synced: 07 Nov 2024
https://github.com/neonwatty/autograd_tutorials
A set of autograd tutorial notebooks
autograd autograd-tutorials automatic-differentiation backpropagation jupyter-notebook lecture-notes
Last synced: 27 Oct 2024
https://github.com/bokutotu/zenu
Deep Learning Framework Written in Rust
ai autograd blas cublas cuda cudnn deep-learning deep-neural-networks gpu-computing hpc rust
Last synced: 15 Dec 2024
https://github.com/unifyai/doc-builder
Simple Documentation Builder for Ivy Projects.
abstraction autograd deep-learning gpu ivy jax machine-learning mxnet neural-network numpy python pytorch template tensorflow
Last synced: 14 Nov 2024
https://github.com/Marco-Christiani/zigrad
A deep learning framework built on an autograd engine with high level abstractions and low level control.
autograd deep-learning machine-learning neural-network tensor zig zig-package ziglang
Last synced: 26 Nov 2024
https://github.com/radenmuaz/slope-ad
A small automatic differentiation engine, supporting higher-order derivatives
array autograd automatic-differentiation cuda gradient iree jvp machine-learning metal mlir onnx onnxruntime tensor vjp
Last synced: 08 Dec 2024
https://github.com/hzdr/autodiff101
An introduction to Automatic Differentiation with theory and code examples.
autodiff autograd automatic-differentiation jax pytorch
Last synced: 14 Nov 2024
https://github.com/jaketae/pygrad
Pure Python autograd library based on NumPy
Last synced: 30 Nov 2024
https://github.com/frasiyav/BQN-grad
Backpropagation in BQN.
auto-differentiation autograd bqn
Last synced: 14 Nov 2024
https://github.com/fwcd/mini-ml
Computation graphs, automatic differentiation and machine learning for Kotlin
autograd computation-graph gradient machine-learning tensor
Last synced: 13 Dec 2024
https://github.com/load1n9/denograd
pytorch's autograd deno implementation
autograd deno machine-learning neural-network pytorch
Last synced: 11 Dec 2024
https://github.com/jasmcaus/hazel
A Tensor Library written in C++.
artificial-intelligence autodiff autograd automatic-differentiation computing cpp cuda deep-learning differentiation gpu hazel-lang ml neural neural-network python pytorch scientific-computing tensor tensor-library
Last synced: 11 Nov 2024
https://github.com/itsubaki/autograd
Automatic differentiation library for Go
Last synced: 14 Dec 2024
https://github.com/dmaivel/cugrad
An automatic differentiation library written in C++ and CUDA
autodiff autograd automatic-differentiation gradient gradients linear-algebra machine-learning neural-network tensor-algebra
Last synced: 11 Nov 2024
https://github.com/elftausend/sliced
Array operations with automatic differentiation on CPU and GPU
autograd automatic-differentiation cuda custos matrix opencl
Last synced: 08 Dec 2024
https://github.com/lyuwenyu/pdll
Python Deep Learning Library, including autograd, nn modules, optimizers, io, etc.
Last synced: 06 Nov 2024
https://github.com/reinterpretcat/mikrograd
A toy neural networks library with zero* dependencies
autograd micrograd neural-networks rust
Last synced: 17 Dec 2024
https://github.com/mattzcarey/micrograd.zig
small (and partial) autograd engine inspired from Karpathy's micrograd and PyTorch, written in Zig
autograd llm llvm machine-learning micrograd pytorch zig
Last synced: 10 Oct 2024
https://github.com/borealisai/probforest
Differentiable relaxations of tree-based models.
autograd lightgbm pytorch randomforest tree xgboost
Last synced: 06 Nov 2024
https://github.com/imaddabbura/tiny-pytorch
Tiny Deep Learning framework similar to PyTorch.
autograd deep-learning deep-learning-framework gpu machine-learning neural-network python tensor
Last synced: 08 Dec 2024
https://github.com/kshru9/linear-regression
A complete implementation of linear regression algorithms
autograd contours gradient-descent line-fit linear-regression machine-learning-algorithms scratch-implementation stochastic-gradient-descent surface-plot
Last synced: 12 Nov 2024
https://github.com/pilotleoyan/inside-deep-learning
Inside deep learning, a repository to explain and apply deep learning concepts.
autograd deep-learning machine-learning-algorithms machine-learning-from-scratch mathematics python3 pytorch
Last synced: 21 Dec 2024
https://github.com/chanlumerico/lucid
Lumerico's Comprehensive Interface for Deep Learning
autograd deep-learning from-scratch numpy
Last synced: 28 Nov 2024
https://github.com/alexdremov/deepswift
Swift autograd library
algorithm autograd backpropagation graph matrix ml swift
Last synced: 16 Nov 2024
https://github.com/ai-glimpse/toydl
toydl: toy deep learning algorithms implementation, backend with self implement toy torch
autodifferentiation autograd deep-learning python torch toy-project toydl
Last synced: 30 Aug 2024
https://github.com/aiboy996/npnn
NumPy Neural Network framework
autograd machine-learning neural-network numpy
Last synced: 19 Nov 2024
https://github.com/dirmeier/clad
Reverse-mode autodiff for Clojure
autodiff autograd reverse-mode-autodiff
Last synced: 16 Nov 2024
https://github.com/deepschneider/tinygrad-universal
Universal version of Tinygrad with CUDA and OpenCL support
autograd automatic-differentiation cuda pycuda pyopencl tinygrad tinygrad-cuda
Last synced: 16 Nov 2024
https://github.com/cloudkj/lambda-autodiff
A library for automatic differentiation in Clojure
autodiff autograd clojure lisp machine-learning
Last synced: 18 Nov 2024
https://github.com/lucianbuzzo/gradnite
A simple Autograd engine written in Crystal
autograd crystal neural-network
Last synced: 07 Dec 2024
https://github.com/alexbie98/bietorch
neural nets with numpy
autograd neural-nets numpy torch
Last synced: 07 Dec 2024
https://github.com/matsumotosan/tiny
A tiny autograd engine inspired by micrograd
autograd machine-learning pytorch
Last synced: 15 Dec 2024
https://github.com/andrewharabor/autograd
A C++ library for gradient computation via reverse-mode automatic differentiation
autograd automatic-differentiation cplusplus cpp cpp-templates gradient
Last synced: 22 Nov 2024
https://github.com/li-plus/tinynn
An educational PyTorch-like neural network framework based on NumPy
autograd deep-learning machine-learning neural-network numpy python
Last synced: 06 Nov 2024
https://github.com/mynameisvinn/piegrad
barebones implementation of autograd
Last synced: 07 Nov 2024
https://github.com/szaman19/delta
A templated extendible modular automatic gradient and neural network library in C++
autograd cpp deep-learning neural-network
Last synced: 03 Dec 2024
