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
2,663 results
The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
A toolkit to learn how to model and interpret regulatory sequence data using deep learning.
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.
OSS library that implements deep learning methods for partial differential equations and much more
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.
Open source deep learning based fine-grained image recognition toolbox built on PyTorch🔥
A Deep Learning UCI-Chess Variant Engine written in C++ & Python :parrot:
The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field
Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
High performance distributed framework for training deep learning recommendation models based on PyTorch.
A manifold optimization library for deep learning
PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning
A collaborative list of interactive Machine Learning, Deep Learning and Statistics websites
Deep learning models for guitar amp/pedal emulation using LSTM with Keras.
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
A simple deep learning framework in pure python for purpose of learning in DL
(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
Code for paper "Learning to Reweight Examples for Robust Deep Learning"
Repository of best practices for deep learning in Julia, inspired by fastai
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
24,545 repositories in the index in total.
