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
Exercises to learn how to fuzz with American Fuzzy Lop
An Industrial Graph Neural Network Framework
Learning Golang one day
OWASP Mutillidae II is a free, open-source, deliberately vulnerable web application providing a target for web-security training. This is an easy-to-use web hacking environment designed for labs, security enthusiasts, classrooms, CTF, and vulnerability assessment tool targets.
Malware samples, analysis exercises and other interesting resources.
Training Course for Ansible Automation Platform
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.
MiniOB is a compact database that assists developers in understanding the fundamental workings of a database.
🏋 Modern open-source fitness coaching platform. Create workout plans, track progress, and access a comprehensive exercise database.
Synthetic data generators for tabular and time-series data
Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.
NLP transformers written in Go
EMNLP 2021 - Pre-training architectures for dense retrieval
OpenAI GPT2 pre-training and sequence prediction implementation in Tensorflow 2.0
This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.
[NeurIPS 2021] Galerkin Transformer: Neural Operator built on Attention for PDEs
A python library that makes AMR parsing, generation and visualization simple.
ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”.
Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
The pure and clear PyTorch Distributed Training Framework.
Fully featured implementation of Routing Transformer
24,545 repositories in the index in total.
