Lists (3)
Stars
Implementations of Reinforcement Learning and Planning algorithms
Micro Llama is a small Llama based model with 300M parameters trained from scratch with $500 budget
Fast and vectorizable algorithms for searching in a vector of sorted floating point numbers
A native PyTorch Library for large model training
Infinity is a high-throughput, low-latency REST API for serving text-embeddings, reranking models and clip
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Transformer related optimization, including BERT, GPT
Visualizing some of the internals of a neural network during training and inference.
A collection of learning resources for curious software engineers
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Master programming by recreating your favorite technologies from scratch.
Papers from the computer science community to read and discuss.
This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
A tool for exploring each layer in a docker image
1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java
The official Python library for the OpenAI API
📈 Command line tool written in Go. It allows developers to scan their local Git repositories and generate a visual contributions graph.
An extremely fast Python linter and code formatter, written in Rust.
Turns Data and AI algorithms into production-ready web applications in no time.
All Algorithms implemented in Python
🚂 🦀 The one-person framework for Rust for side-projects and startups
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
Easily create video animations (.mp4) of your Git commit history, directory from your Git repo.