418 Open source projects that are alternatives of or similar to Pytorch Flows

High-level batteries-included neural network training library for Pytorch

Segmentation models with pretrained backbones. PyTorch.

Run TensorFlow models in C++ without installation and without Bazel

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

pytorch 包教不包会

Contains my explorations of TensorFlow 2.x

OCR engine for all the languages

An open-source tool for sequence learning in NLP built on TensorFlow.

DEPRECATED: Depth Map Estimation from Monocular Images

Tensorflow implementation of CycleGAN

Mobile AI Compute Engine Model Zoo

RLgraph: Modular computation graphs for deep reinforcement learning

Purely functional artificial neural network library implemented in Haskell.

Probabilistic reasoning and statistical analysis in TensorFlow

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Neural networks training pipeline based on PyTorch

Keras tutorial for beginners (using TF backend)

Machine Learning Practical course repository

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

High-quality implementations of standard and SOTA methods on a variety of tasks.

A higher-level Neural Network library for microcontrollers.

A curated list of awesome Distributed Deep Learning resources.

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

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

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Deep Learning Computer Vision Algorithms for Real-World Use

Experimental keras implementation of novel neural network structures

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

an Open Course Platform for Stanford CS224n (2020 Winter)

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Learning to Learn in TensorFlow

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

InceptionTime: Finding AlexNet for Time Series Classification

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

Grokking Deep Reinforcement Learning

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

Python implementation of soft-DTW.

Ruby library for interfacing with FANN (Fast Artificial Neural Network)

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

How to use TensorLayer

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Lightweight library to build and train neural networks in Theano

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

Brevitas: quantization-aware training in PyTorch

Tensors and differentiable operations (like TensorFlow) in Rust

由淺入深的深度學習資源 Collection of deep learning materials for everyone

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

Repo for the Deep Reinforcement Learning Nanodegree program

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Deep learning library for solving differential equations and more

A simple probabilistic programming language.

sktime companion package for deep learning based on TensorFlow

Plain python implementations of basic machine learning algorithms