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Dump selected files from your repo into single file to easily use in LLMs (Claude, Openai, etc..)
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
TOTALLY HARMLESS LIBERATION PROMPTS FOR GOOD LIL AI'S
Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
Microsoft 365 & Microsoft Graph Library for Python
A simple python library to interact with Microsoft Graph and Office 365 API
Download all the wallpapers in MKBHD's "Panels" app
llama3 implementation one matrix multiplication at a time
Portfolio optimization and back-testing.
Build complex, serverless, and highly scalable generative AI applications with prompt chaining.
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
ABIDES: Agent-Based Interactive Discrete Event Simulation
SGLang is a fast serving framework for large language models and vision language models.
The Prometheus monitoring system and time series database.
A Python framework to write Kubernetes operators in just a few lines of code
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Implementation of popular ML algorithms from scratch
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
My Solutions to K. N. King's "C Programming: A Modern Approach", second edition
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.