674 Open source projects that are alternatives of or similar to Gon

Crystal Graph Neural Networks

Keras tutorial for beginners (using TF backend)

Deepfakes Software For All

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

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

How to use TensorLayer

Koç University deep learning framework.

Problem Agnostic Speech Encoder

Build conversation Seq2Seq models with TensorFlow

Brevitas: quantization-aware training in PyTorch

it's a small library for running trained Keras 2 models from a native C++ code.

Tensorflow implementation of CycleGAN

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Build Graph Nets in Tensorflow

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Plain python implementations of basic machine learning algorithms

Machine learning, in numpy

Mobile AI Compute Engine Model Zoo

This toolbox is support material for the book on CNN (http://www.convolution.network).

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.

TensorFlow-based neural network library

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

An open source library for artificial neural networks.

SelFlow: Self-Supervised Learning of Optical Flow

Denoising Autoencoders for Phenotype Stratification

Neural networks training pipeline based on PyTorch

brief introduction to Python for neural networks

OCR engine for all the languages

GPU accelerated Deep Belief Network

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

Русскоязычный чатбот

Python implementation of soft-DTW.

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

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

A Tensorfflow implementation of Attend, Infer, Repeat

Machine Learning Practical course repository

Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.

DEPRECATED: Depth Map Estimation from Monocular Images

A tool for retrosynthetic planning

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

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

和（he for objective-c） —— “信息熵减机系统”

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

Finding the genre of a song with Deep Learning

End-To-End Molecular Dynamics (MD) Engine using PyTorch

Run Keras models in the browser, with GPU support using WebGL

🔮Deep Learning for text made easy with AllenNLP

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

Deep Learning for Astronomers with Tensorflow

Implementation of simple autoencoders networks with Keras

A tiny neural network 🧠

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Unsupervised Feature Learning via Non-parametric Instance Discrimination