#machine-learning

Опис репозиторію не опубліковано.

An interactive HTML pretty-printer for machine learning research in IPython notebooks.

IbisML is a library for building scalable ML pipelines using Ibis.

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

data science in JavaScript, part of the tangent scientific computing suite

A Rust Library for High-Performance Tensor Exchange with Python

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

Опис репозиторію не опубліковано.

An unofficial C#/.NET SDK for accessing the Anthropic Claude API. This package is not affiliated with, endorsed by, or sponsored by Anthropic. Anthropic and Claude are trademarks of Anthropic, PBC.

An imperative command-line-interface for AI workload orchestration

linear and non-linear solvers, time integration, roms

Fast DVC-compatible accelerator for add/status and S3-backed data sync

Google Research

Efficient few-shot learning with Sentence Transformers

LLMs as Copilots for Theorem Proving in Lean

Framework-agnostic PHP SDK for AI providers with typed results and platform abstraction

An open-source algorithmic trading platform written in Python

Numo::OpenBLAS builds and uses OpenBLAS as a background library for Numo::Linalg

The ComBat algorithm for a learning framework (scikit-learn compatible)

PHP Sentiment Analyzer is a lexicon and rule-based sentiment analysis tool for PHP, built on the VADER (Valence Aware Dictionary and sEntiment Reasoner) sentiment lexicon.

JAX-native differentiable protein folding framework integrating experimental NMR constraints (RDCs) and biophysical "self-correction." Several Jupyter Notebooks visualize the concepts.

Helen Agent Develop Language

Complete python SDK, CLI, and API reference for integrating with the Pictograph.io platform.

Model-agnostic multi-modality generation server with plugin discovery: OpenAI-compatible TTS, embeddings, and image generation. Drop a Python file in ~/.muse/models/ to add a backend.

Опис репозиторію не опубліковано.

Ferrum is a statistical visualization library for Python: a grammar-first charting system that unifies exploratory plots, statistical graphics, interactive views, and model diagnostics, backed by a Rust engine. Built in 10 days by one human and an agentic Claude framework.

Опис репозиторію не опубліковано.

AI-enhanced computational chemistry

a Rust runtime for local language models