The visual layer for Git in your own repos: simulate, record, replay, audit, and share entire Git workflows, wherever you or your agents run them.
- git
- gitpython
- manim
- python
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The visual layer for Git in your own repos: simulate, record, replay, audit, and share entire Git workflows, wherever you or your agents run them.
« usbkill » is an anti-forensic kill-switch that waits for a change on your USB ports and then immediately shuts down your computer.
Curated list of Python resources for data science.
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Translated🌐Automatically update domain name resolution to the local machine's IP, supports dnspod, Alibaba DNS, CloudFlare, Huawei Cloud, DNSCOM...
TranslatedCompanion code for "21 Projects to Master Deep Learning: A Detailed Practical Guide Based on TensorFlow"
TranslatedAn open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨
A generic system for filtering Django QuerySets based on user selections
OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch.
A 100M-parameter multilingual TTS model for real-time CPU inference, voice cloning, and 48 kHz stereo generation
Transformer: PyTorch Implementation of "Attention Is All You Need"
A library that scrapes Linkedin for user data
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
[CVPR 2025] EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation
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An enterprise friendly way of detecting and preventing secrets in code.
C++ python bytecode disassembler and decompiler
Align Anything: Training All-modality Model with Feedback
Notebooks using the Hugging Face libraries 🤗
Drop-down terminal for GNOME
Data augmentation for NLP
Azure Command-Line Interface
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.
:pencil: Markdown code for lots of small badges :ribbon: :pushpin: (shields.io, forthebadge.com etc) :sunglasses:. Contributions are welcome! Please add yours!