python

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM, Finer-CAM, LeGrad, RefineCAM)

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

Feature engineering and selection open-source Python library compatible with sklearn.

This curated list contains python packages for time series analysis

A library for training and deploying machine learning models on Amazon SageMaker

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.5 Flash and OpenAI's GPT-5.1 on the backend for inference.

Build reliable Gen AI solutions without overhead 🍕

👻 Proxy API gateway for Kiro IDE & CLI (Amazon Q Developer / AWS CodeWhisperer). Use free Claude models with any client.

This repository helps you learn Python and Machine Learning from scratch.

Aix-DB 基于 LangChain/LangGraph 框架，结合 MCP Skills 多智能体协作架构，实现自然语言到数据洞察的端到端转换。

A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows

Basic Utilities for PyTorch Natural Language Processing (NLP)

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

Fast State-of-the-Art Static Embeddings