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Autograd Python Packages

Python packages with the GitHub topic autograd. Sorted by relevance, with stars and monthly downloads.
pytorch
torch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

84.8M 100K 28K
CamDavidsonPilon
autograd-gamma

NotImplementedError: VJP of gammainc wrt argnum 0 not defined

2M 15 4
PennyLaneAI
pennylane

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

336K 3K 778
rusty1s
torch-sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

42K 1K 159
ChanLumerico
lucid-dl

Lumerico's Comprehensive Interface for Deep Learning

6K 3 1
Prajjwal2404
neuralengine

An open-source framework/library for building and training neural networks in Python with support for GPUs (CUDA).

4K 1 0
avitai
datarax

A Differentiable Data Pipeline Framework for JAX

3K 1 0
fjosw
pyerrors

Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.

3K 52 21
rsokl
mygrad

Drop-in automatic differentiation to NumPy

1K 216 22
nabla-ml
nabla-ml

Nabla: High-Performance Scientific Computing

1K 335 13
AgentTorch
agent-torch

large population models

977 606 94
mbahng
pyember

ML Library from scratch with only standard libraries

893 8 0
norse
norse

Deep learning with spiking neural networks (SNNs) in PyTorch.

857 795 99
34j
boost-loss

Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.

760 10 0
fancompute
legume-gme

Differentiable plane-wave and guided-mode expansion for photonic crystals

757 143 40
lewisnjue
nnetflow

A minimal neural network framework with autodiff and NumPy

744 2 0
Bluerrror
torchvine

Pure-PyTorch vine copula modelling — GPU-ready, differentiable, and API-compatible with pyvinecopulib

644 0 0
arthurdjn
nets

Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.

587 38 3
eduardoleao052
neuralforge

Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.

523 126 4
andykee
loupe

Parametric optimization with built-in autograd

461 1 0
abhiagwl
vistan

Library to run VI algorithms on Stan models.

451 33 3
Yottaxx
torch-yottaxx

a simple autograd library

411 0 0
WeltXing
pydynet

NumPy-based Dynamic Deep Learning Framework

408 87 15
pytorch
pytorch-gpu

Tensors and Dynamic neural networks in Python with strong GPU acceleration

400 100K 28K
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