Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,672 results
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Implementation of NIMA: Neural Image Assessment in Keras
"End-To-End Memory Networks" in Tensorflow
DeepLabv3+ built in TensorFlow
Generative Adversarial Networks implemented in PyTorch and Tensorflow
Play deep learning with CIFAR datasets
A Redis module for serving tensors and executing deep learning graphs
Emotion recognition using DNN with tensorflow
Boltzmann Machines in TensorFlow with examples
Wavelet scattering transforms in Python with GPU acceleration
FaceRank - Rank Face by CNN Model based on TensorFlow (add keras version). FaceRank-人脸打分基于 TensorFlow (新增 Keras 版本) 的 CNN 模型（QQ群：167122861）。技术支持：http://tensorflow123.com
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
Speech Enhancement Generative Adversarial Network in TensorFlow
PyTorch to Keras model convertor
Invisible Hyperlinks in Physical Photographs
FastER RCNN built on tensorflow
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Some interesting TensorFlow tutorials for beginners.
Standalone TFRecord reader/writer with PyTorch data loaders
Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
Detect the programming language of a source code
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
Data compression in TensorFlow
24,540 repositories in the index in total.
