Chris Hughes's starred repositories
alignment-handbook
Robust recipes to align language models with human and AI preferences
awesome-twitter-algo
The release of the Twitter algorithm, annotated for recsys
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Yolov7-training
A clean, modular implementation of the Yolov7 model family, which uses the official pretrained weights, with utilities for training the model on custom (non-COCO) tasks.
Grokking-the-Coding-Interview-Patterns
This course categorizes coding interview problems into a set of 16 patterns. Each pattern will be a complete tool - consisting of data structures, algorithms, and analysis techniques - to solve a specific category of problems. The goal is to develop an understanding of the underlying pattern, so that, we can apply that pattern to solve other problems.
accelerate
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
pytorch-accelerated
A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/
object-detection-metrics
Python code for analysing object detection metrics