A PyTorch native platform for training generative AI models

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

各种油猴脚本

The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)

Random miniprojects with pytorch.

My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.

Pre-trained word vectors of 30+ languages

This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks

Lime: Explaining the predictions of any machine learning classifier

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

A List of Data Science/Machine Learning Resources (Mostly Free)

Pure Java implementation of XGBoost predictor for online prediction tasks.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

TensorLy: Tensor Learning in Python.

Find Political Donors

An NLP workshop about concrete solutions to real problems