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

Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching

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

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

Structured Text Generation

A ChatGPT 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.

GitHub special files and paths, such as README, LICENSE, .github, docs, dependabot, workflows.

Temporal-Relational CrossTransformers (CVPR 2021)

Python bindings for llama.cpp

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

An annotated implementation of the Transformer paper.

Taming Transformers for High-Resolution Image Synthesis