[CVPR 2024 Highlight🔥] Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding

Clean, minimal, accessible reproduction of DeepSeek R1-Zero

[ICML 2024 Spotlight] FiT: Flexible Vision Transformer for Diffusion Model

open-source multimodal large language model that can hear, talk while thinking. Featuring real-time end-to-end speech input and streaming audio output conversational capabilities.

Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.

Official implementation of FIFO-Diffusion: Generating Infinite Videos from Text without Training (NeurIPS 2024)

Official repository for "FiGVCL: Fine-Grained Benchmark and Method for Video Copy Localization"

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

[NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…

Structured Text Generation

THE Copilot in Obsidian

Open source implementation of "A Self-Supervised Descriptor for Image Copy Detection" (SSCD).

🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.

🦜🔗 Build context-aware reasoning applications

Lightweight Xray panel with multi-protocol and multi-user on the same port,supports English language and Telegram bot. Easy to use and easy to manage.

a smol tcp/ip stack

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

A web GUI client of Project V which supports VMess, VLESS, SS, SSR, Trojan, Tuic and Juicity protocols. 🚀

Clash Verge back up

Empowering everyone to build reliable and efficient software.

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

Authors official PyTorch implementation of the "Self-Supervised Video Similarity Learning" [CVPRW 2023]

Development and compilation setup for the book versions of MINIX (2.0.0 and 3.1.0) on QEMU

Original Minix 1 sources from the book "Operating Systems: Design and Implementation" 1st ed.