A curated, non-BS library of the best resources for building and evaluating AI agents — papers, blogs, talks, tools, benchmarks. Maintained by BenchFlow.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.

Breiman and Cutler's Random Forests Compressed as a Unified Learning and Similarity Engine. Extended with native explainable similarity. Scales to 25M+ with GPU acceleration.

An alignment auditing agent capable of quickly exploring alignment hypothesis

bloom - evaluate any behavior immediately  🌸🌱

The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthr…

This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov

GPU-accelerated Random Forest library with advanced interpretability, proximity analysis, and interactive visualization. Python + C++/CUDA. Scales to 1M+ samples.

Using Tree-of-Thought Prompting to boost ChatGPT's reasoning

A framework for prompt tuning using Intent-based Prompt Calibration