Popular GitHub Repositories for M365

将EPUB、PDF和文本文件转换成带同步字幕的有声书。

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.

TinyML AI inference library

Word GPT Plus is a word add-in which integrates the chatGPT model into Microsoft Word. Both official and web api is supported.

Auto-Update your M3U Playlists every day without needing an app, with the same link.

Large-Scale Visual Representation Model

Object detection on multiple datasets with an automatically learned unified label space.

An all-in-one AI audio playground using Cloudflare AI Workers to transcribe, analyze, summarize, and translate any audio file.

Providing reproducibility in deep learning frameworks

? Kokoro Web: Free AI text-to-speech, online or self-hosted, OpenAI compatible!

Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality loss. Includes benchmarking, visualization, and one-command setup. Optimized for M1/M2/M3 Macs with Metal support.

VoxNovel: generate audiobooks giving each character a different voice actor.

TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

Inferflow is an efficient and highly configurable inference engine for large language models (LLMs).

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

A few quick scripts focused on testing TensorFlow/PyTorch/Llama 2 on macOS.

Code for paper "Discourse-Aware Neural Extractive Text Summarization" (ACL20)

An implementation of "Community Preserving Network Embedding" (AAAI 2017)