#machine-learning

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Visual storytelling for deep learning training runs.

Google Research

AI-native tensor format (.ptt) for protein-structure ML. Convert a structure or sequence once; load backbone, MSA, ESM embeddings, sparse pair features, and ligands with zero parsing. Feeds AlphaFold/Boltz (Boltz-2 verified). Zarr-backed, lossless, PyTorch/JAX-ready, streams from S3/GCS.

Training API and CLI

A command-line tool to extract plain text from Wikipedia dumps with category and section filtering

A Spring Boot web app that buys and sells cryptocurrencies from API data sources. Its quick trading and other features allow users to leverage computer power to outperform the market.

Parallel Barnes-Hut t-SNE implementation written in Rust.

High-performance, multi-provider LLM SDK for Go. Unified access to OpenAI, Anthropic, Gemini, Ollama, OpenRouter with adaptive rate limiting and concurrency control.

Fetch The Gradient AI research publication posts and listings from the terminal

Command-line tools for Bayesian modelling, MCMC inference, and post-inference diagnostics across probabilistic programming languages.

Crystallize is a lightweight Python framework for rigorous, reproducible data science experiments. Define modular pipelines, apply treatments as experimental variations, and verify hypotheses with statistical tests, all with built-in caching, immutability, and parallelism for trustworthy, efficient results.

Elixir bindings for 🤗 Tokenizers

Ruby wrapper for the Weaviate vector search database API

High-performance interpretable ML classifier using High Utility Gain patterns (IEEE Access 2024). C++ accelerated, scikit-learn compatible, with EBM-style explanations, adaptive binning, pattern pruning, and deployment tooling for regulated domains.

Gradient Boosting library with KAN (Kolmogorov-Arnold Network) learners