Stars
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Turns Data and AI algorithms into production-ready web applications in no time.
Ongoing research training transformer models at scale
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Machine Learning Journal for Intermediate to Advanced Topics.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
A reading list on LLM based Synthetic Data Generation 🔥
https://huyenchip.com/ml-interviews-book/
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Because we don't have enough time to read everything
Release for Improved Denoising Diffusion Probabilistic Models
Code examples and resources for DBRX, a large language model developed by Databricks
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dat…
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A curated list of awesome LLM for Autonomous Driving resources (continually updated)
The autonomous driving related publications of our lab.
A collection of resources and papers on Diffusion Models
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
PyTorch implementation of some attentions for Deep Learning Researchers.
Denoising Diffusion Probabilistic Models