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0 - 1 learn OpenClaw: sections to build an claw-AI agent from scratch

With Holoviews, your data visualizes itself.

bt - flexible backtesting for Python

RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

Data manipulation and transformation for audio signal processing, powered by PyTorch

Modular and decentralised honeypot

Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.

SQL reporting that Just Works. Fast, simple, and confusion-free. Write and share queries in a delightful SQL editor, with AI assistance.

Compresses linked and inline javascript or CSS into a single cached file.

A Model Context Protocol server for searching and analyzing arXiv papers

Reusable workflow library for Django

PyTorch native quantization and sparsity for training and inference

PVR & episode guide that downloads and manages all your TV shows

The strictest and most opinionated python linter ever!

Pandas integration with sklearn

o1-engineer is a command-line tool designed to assist developers in managing and interacting with their projects efficiently. Leveraging the power of OpenAI's API, this tool provides functionalities such as code generation, file editing, and project planning to streamline your development workflow.

aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

Sane and flexible OpenAPI 3 schema generation for Django REST framework.

Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Sequential model-based optimization with a `scipy.optimize` interface

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.

Python dictionaries with advanced dot notation access

python parser for human readable dates

🧠 AI-powered enterprise search engine 🔎

🌐 The easiest way to parse and modify URLs in Python.

POT : Python Optimal Transport

A self hosted media tracker.