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Search results for autograd

161 search results found

New_grad ⭐ 18

A new lightweight auto-differentation library that directly builds on numpy. Used as a homework for CMU 11785/11685/11485.

Vim Autograd ⭐ 18

Automatic differentiation library written in pure Vim script.

Clj Autograd ⭐ 17

Autograd experiments in Clojure.

Dl4sci Pytorch Webinar ⭐ 17

Yaae: Yet another autodiff engine (written in Numpy).

Idiap Tutorials ⭐ 16

A tiny deep learning library written in Java

Python implementation of rigorous coupled wave analysis, autograd supported for optimization purpose

The Pitzer model for chemical activities and equilibria in aqueous solutions in Python

A neural network, and tensor dynamic automatic differentiation implementation for Rust.

A light-weighted and flexible C++ differentiable programming library. Just replace float and double with it, and it does Auto-Grad for you...

Pytorch Unattached ⭐ 14

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Lab Grad ⭐ 14

An Automated Differentiation library (like Pytorch🔥) in Typescript, for educational purposes.

Autograd Lib ⭐ 14

code release for the NIPS 2016 paper

Toeffipy ⭐ 13

ToeffiPy is a PyTorch like autograd/deep learning library based only on NumPy.

Autograd Gamma ⭐ 13

NotImplementedError: VJP of gammainc wrt argnum 0 not defined

Libtorchjs ⭐ 13

Node.js N-API wrapper for libtorch

Control Notes ⭐ 12

Notes on topics ranging from Recurrent Newtorks to Automatic Control and Reinforcement Learning

A simple library to run variational inference on Stan models.

Baby deep learning library🐣

Smoothing and Mapping in Rust

Minigrad ⭐ 11

Autograd Engine for Python Written in Python C-API for Speed

Pytorch Coriander ⭐ 11

OpenCL build of pytorch - (in-progress, not useable)

Pytortto ⭐ 11

deep learning from scratch. using numpy/cupy, trains in GPU, follows pytorch API

Efficient Nonparametric Bayesian Hawkes Processes ⭐ 10

Nim Rmad ⭐ 10

Autograd (backpropagation, reverse-mode auto differentiation) in Nim

Deepnet.js ⭐ 10

Auto-differentiation library for javascript

Gradflow ⭐ 10

A small, educational autograd system with deep neural networks support

Numpy_autograd ⭐ 9

a simple implementation of autograd engine

Ptychosampling ⭐ 9

Code for ptychography with tensorflow

Auxiliary second-order optimization tools compatible with PyTorch.

vala and scientific numerical computation

Library for fast computations involving indistinguishable bosons

Simple replication of PyTorch by pure python and numpy

Nablafuzz ⭐ 9

Fuzzing Automatic Differentiation in Deep-Learning Libraries (ICSE'23)

Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf

Automatic differentiation library written in Rust.

Physics Driven Ml ⭐ 8

Physics-driven machine learning using PyTorch and Firedrake

Miccaitutorial2019 ⭐ 7

Define-by-run arbitrary higher order autodiff for scalars in Rust. Deferred: tensor calculus implementation.

Docker Torch Mega ⭐ 7

Docker image for Torch with CUDA support + extra Torch libraries

Awesome Optimizers ⭐ 7

Neural Network optimizers implemented from scratch in numpy (Adam, Adadelta, RMSProp, SGD, etc.)

Jax Practice ⭐ 6

Disp_est_net ⭐ 6

Monocular disparity (inverse depth) estimation network

Doc Builder ⭐ 6

Simple Documentation Builder for Ivy Projects.

C computation graph, AutoGrad with OpenCL support [WIP]

Hs Bnn Public ⭐ 6

Pytorch Implementation ⭐ 6

Pytorch implementation(LeNet, VGGNet, GAN, UNet, Mask R-CNN, ...)

Deep learning framework made by and for students.

Firstexplicitmethod Hdm ⭐ 6

Implementation of Hamiltonian Descent Methods (First explicit method) with Python3

Reimplement TransH mode

Quarto is a toy-level, self-implemented deep learning library with autograd.

Jax Spectral ⭐ 5

Short-time Fourier transform (STFT) for JAX

Jax wrapper for autograd-differentiable functions

Autodiff101 ⭐ 5

An introduction to Automatic Differentiation with theory and code examples.

Paper Note ⭐ 5

A collection of my notes and thinking for read papers.

a Tiny Automatic Differentiation Library for understanding how neural networks works, implemented in pure Java

Auto-differentiation library for C++

Pypytorch ⭐ 5

PyPyTorch is a simple deep learning framework implemented by Python3

101-161 of 161 search results

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