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47 search results found

Pytorch ⭐ 74,794

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Effectivetensorflow ⭐ 8,646

TensorFlow tutorials and best practices.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Flux.jl ⭐ 4,318

Relax! Flux is the ML library that doesn't make you tensor

Tch Rs ⭐ 3,567

Rust bindings for the C++ api of PyTorch.

Artificial Intelligence Deep Learning Machine Learning Tutorials ⭐ 3,436

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Hummingbird ⭐ 3,268

Hummingbird compiles trained ML models into tensor computation for faster inference.

Pytorch Nlp ⭐ 2,180

Basic Utilities for PyTorch Natural Language Processing (NLP)

Pytorch Cpp ⭐ 1,710

C++ Implementation of PyTorch Tutorials for Everyone

Deep learning in Rust, with shape checked tensors and neural networks

Hyperlearn ⭐ 1,387

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Effectivepytorch ⭐ 1,321

PyTorch tutorials and best practices.

Prettytensor ⭐ 1,241

Pretty Tensor: Fluent Networks in TensorFlow

Arraymancer ⭐ 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

Intel Extension For Pytorch ⭐ 1,161

A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

A modular framework for neural networks with Euclidean symmetry

All About The Gan ⭐ 602

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

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

Executorch ⭐ 577

End-to-end solution for enabling on-device AI across mobile and edge devices for PyTorch models

Diffsharp ⭐ 526

DiffSharp: Differentiable Functional Programming

Libonnx ⭐ 451

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

Hello_tf_c_api ⭐ 436

Neural Network TensorFlow C API

Rust Autograd ⭐ 413

Tensors and differentiable operations (like TensorFlow) in Rust

Ocaml Torch ⭐ 376

OCaml bindings for PyTorch

Torchcde ⭐ 361

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

Pytorch_exercises ⭐ 304

Experimental typed deep learning

Javascript neural networks on top of general scalar/tensor reverse-mode automatic differentiation.

Verisilicon Tensor Interface Module

Seq2seqsharp ⭐ 188

Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

Tensorflow Cheatsheet ⭐ 143

My personal reference for Tensorflow

L1: Tensor Studio — The playground for tensors

The V Tensor Library

Onnx Scala ⭐ 134

An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning and classical machine learning in Scala 3

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

functional neural networks in ocaml

GPU accelerated deep learning and numeric computing for Scala 3.

Pytorch Wrapper ⭐ 87

Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.

Complexcnn ⭐ 72

pytorch implementation of complex convolutional neural network

Exprgrad ⭐ 70

An experimental deep learning framework for Nim based on a differentiable array programming language

A neural network framework (with autograd!) for object pascal 🧠

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

PyTorch bindings for R

Deep learning for spiking neural networks

State of the Art Neural Networks for Deep Learning

Puzzlelib ⭐ 57

Deep Learning framework with NVIDIA & AMD support

An unofficial Tensorflow implementation of the DSNT layer, as taken from the paper "Numerical Coordinate Regression with Convolutional Neural Networks".

A C++ implementation to create, visualize and train Convolutional Neural Networks

Protein Interaction Network ⭐ 53

Computes a molecular graph for protein structures.

Pytorch Alpine ⭐ 52

A very small PyTorch container in Alpine Linux

Keras.jl ⭐ 42

A julia wrapper for https://keras.io

N-dimensional / multi-dimensional arrays (tensors) in Scala 3. Think NumPy ndarray / PyTorch Tensor but type-safe over shapes, array/axis labels & numeric data types

Keras Neural Graph Fingerprint ⭐ 41

Keras implementation of Neural Graph Fingerprints as proposed by Duvenaud et al., 2015

Ifi Summer School ⭐ 37

Slides and notebooks for the IfI Summer School 2018 on Machine Learning

Deep neural network to reconstruct Confocal 3D stacks from Light Field Microscopy images.

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.

A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")

Serve TF models simple and easy as an HTTP API

Pytorch Tutorials ⭐ 32

Learn to build your neural network using PyTorch

TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

Weblearn ⭐ 31

Modular neural networks for node.js and the browser

Type-safe, high performance, distributed Neural networks in Scala

Generative Convacs ⭐ 25

Experiments from the article "Tensorial Mixture Models"

A simple tensor library for the computational graph on CPU

Differential Privacy Federated Learning ⭐ 22

Curated notebooks on how to train neural networks using differential privacy and federated learning.

Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv

deep learning and scientific computing framework with native CPU and GPU backend for the Scala programming language

Chess Position Evaluation ⭐ 20

Chess position evaluation using neural networks

Dlib Pytorch Benchmark ⭐ 19

A very naive and simple benchmark between dlib and pytorch in terms of space and time

Kaleidoscope ⭐ 17

A user toolkit for analyzing and interfacing with Large Language Models (LLMs)

Verilog Convolutional Neural Network on PYNQ

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

C# implementation of neural networks library. Contains basic types of layers (dense, convolution, pooling, flatten). Supports single CPU, Multi-CPU and GPU tensor operations (using ManagedCUDA). This project is no longer developed, since I ported it to C++ and greatly expanded (Neuro_).

Tiny Tpu ⭐ 14

Small-scale Tensor Processing Unit built on an FPGA

Pytorch Unattached ⭐ 14

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A deep learning library with static computational graph and auto-diff in C++.

Toeffipy ⭐ 13

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

Torchtuples ⭐ 13

Training neural networks in PyTorch

Pytensor ⭐ 12

A numpy deep learning framework

Caffe Simnets ⭐ 12

The SimNets Architecture's Implementation in Caffe

Deep Learning Machine Learning Ai Tensorflow Python ⭐ 11

🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍

A minimalistic header only C++11 Neural Network library based on Eigen::Tensor

Cudacanvas ⭐ 10

Python Module for PyTorch Tensor Visualisation in CUDA Eliminating CPU Transfer

Deepnet.js ⭐ 10

Auto-differentiation library for javascript

Blackcat_tensors ⭐ 8

Matrix-Vector Library Designed for Neural Network Construction. cuda (gpu) support, openmp (multithreaded cpu) support, partial support of BLAS, expression template based implementation PTX code generation identical to hand written kernels, and support for auto-differentiation

Stockdory ⭐ 8

A C++ Chess Engine Finding Best Moves.

Automatic quantization library

The kame ha me ha of neural networks in go.

MultiVariate Convolutional Neural Network

Torchlego ⭐ 7

High level building blocks for Neural Networks with examples

Albiruniml ⭐ 7

AlbiruniML is a linear algebra and machine learning library written in pure c# language inspired from tensorflow

Tensor_train_rnn ⭐ 6

Replace some weights matrices of linear layers of RNNs with matrices in tensor train format. Get better generalization and a lot less parameters.

MUSCO: Multi-Stage COmpression of neural networks

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

Tensorizing_neural_networks Novikov_2015 ⭐ 5

MNIST experiment from Tensorizing neural networks (Novikov et al. 2015)

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