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
2,688 results
links to conference publications in graph-based deep learning
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Open Source Deep Learning Framework for Apple's iOS, OS X and tvOS -
:satellite: All You Need to Know About Deep Learning - A kick-starter
VIP cheatsheets for Stanford's CS 230 Deep Learning
Caffe: a fast open framework for deep learning.
The most cited deep learning papers
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep Learning (Python, C, C++, Java, Scala, Go)
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
Spiking Neural Network library built natively on Apple MLX
A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Ruby library for interfacing with FANN (Fast Artificial Neural Network)
Neural network inference the Unix way
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
OptNet: Differentiable Optimization as a Layer in Neural Networks
24,522 repositories in the index in total.
