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- alirezamika/autoscraper
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
- ArvinLovegood/go-stock
🦄🦄🦄AI赋能股票分析：AI加持的股票分析/选股工具。股票行情获取，AI热点资讯分析，AI资金/财务分析，涨跌报警推送。支持A股，港股，美股。支持市场整体/个股情绪分析，AI辅助选股等。数据全部保留在本地。支持DeepSeek，OpenAI， Ollama，LMStudio，AnythingLLM，硅基流动，火山方舟，阿里云百炼等平台或模型。
- SciPhi-AI/R2R
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
- shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
- leptonai/search_with_lepton
Building a quick conversation-based search demo with Lepton AI.
- evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- open-mmlab/mmpose
OpenMMLab Pose Estimation Toolbox and Benchmark.
- openai/jukebox
Code for the paper "Jukebox: A Generative Model for Music"
- thewh1teagle/vibe
Transcribe on your own!
- cortexlabs/cortex
Production infrastructure for machine learning at scale
- lanpa/tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
- coroot/coroot
Coroot is an open-source observability and APM tool with AI-powered Root Cause Analysis. It combines metrics, logs, traces, continuous profiling, and SLO-based alerting with predefined dashboards and inspections.
- FailproofAI/failproofai
Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement.
- MochiDiffusion/MochiDiffusion
Run Stable Diffusion on Mac natively
- Upsonic/Upsonic
Build autonomous AI agents in Python.
- ZHO-ZHO-ZHO/ComfyUI-Workflows-ZHO
我的 ComfyUI 工作流合集 | My ComfyUI workflows collection
- plastic-labs/honcho
Memory library for building stateful agents
- logancyang/obsidian-copilot
Run agents in Obsidian - OpenCode, Codex, Claude Code etc.
- MaartenGr/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
- NirDiamant/Prompt_Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
- steel-dev/steel-browser
🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser sandbox that lets you automate the web without worrying about infrastructure.
- TheLastBen/fast-stable-diffusion
fast-stable-diffusion + DreamBooth
- anse-app/chatgpt-demo
Minimal web UI for ChatGPT.
- Plachtaa/VALL-E-X
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/
- stanfordnlp/stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
- jaywalnut310/vits
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
- mrdbourke/machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
- leejet/stable-diffusion.cpp
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++
- lucidrains/PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
- jwyang/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn