Popular GitHub Repositories for Work Life Balance

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

? Papers & tech blogs by companies sharing their work on data science & machine learning in production.

? アイリ, ultimate Neuro-sama like LLM powered Live2D/VRM living character life pod, near by you.

Bringing Old Photo Back to Life (CVPR 2020 oral)

ModelScope: bring the notion of Model-as-a-Service to life.

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Like Manus, Computer Use Agent(CUA) and Omniparser, we are computer-using agents.AI-driven local automation assistant that uses natural language to make computers work by themselves

Awesome work on hand pose estimation/tracking

A delightful Ruby way to work with AI. No configuration madness, no complex callbacks, no handler hell – just beautiful, expressive Ruby code.

World's first AI meeting copilot → The Invisible Companion for Work + Life

?️ Generate natural-sounding speech and clone voices without a tokenizer using VoxCPM's context-aware TTS. Experience true-to-life voice generation today.

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

How do we integrate AI generation tools into actual work? | 关于 Ai 绘画的Wiki | Wiki about Ai painting | Prompts Engineering| 指南 Guide | Seeking Maintainer&Translator?

This is a collection of our NAS and Vision Transformer work.

A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TypeScript and TensorFlow.js.

Review-Gate V2 is a powerful rule for the Cursor IDE that helps you get up to 5x more value from your monthly requests. It creates an interactive loop where the AI waits for your follow-up commands—via text, voice, or image upload—allowing you to perform deep, iterative work all within a single request.

NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).