TerryH-dog

TerryH-dog's Stars

• amirbar/visual_prompting

  Official implementation and data release of the paper "Visual Prompting via Image Inpainting".

  Language:Jupyter Notebook30621

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python7.2k735

• QwenLM/Qwen2.5

  Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

  Language:Shell11.9k711

• OpenGVLab/VisionLLM

  VisionLLM Series

  Language:Python98133

• rom1504/img2dataset

  Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

  Language:Python3.9k349

• SkyworkAI/Vitron

  NeurIPS 2024 Paper: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing

  Language:Python46627

• bytedance/1d-tokenizer

  This repo contains the code for 1D tokenizer and generator

  Language:Jupyter Notebook65835

• PixArt-alpha/PixArt-alpha

  PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

  Language:Python2.9k183

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook12.2k1.6k

• AFeng-x/PixWizard

  Language:Python128

• mit-han-lab/vila-u

  [ICLR 2025] VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

  Language:Python2073

• PKU-YuanGroup/Open-Sora-Plan

  This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

  Language:Python11.9k1k

• PKU-YuanGroup/Video-LLaVA

  【EMNLP 2024🔥】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

  Language:Python3.1k222

• TencentARC/SEED-Story

  SEED-Story: Multimodal Long Story Generation with Large Language Model

  Language:Python78459

• AILab-CVC/SEED-X

  Multimodal Models in Real World

  Language:Jupyter Notebook42919

• rongyaofang/PUMA

  Empowering Unified MLLM with Multi-granular Visual Generation

  Language:Python1151

• deepseek-ai/Janus

  Janus-Series: Unified Multimodal Understanding and Generation Models

  Language:Python1.3k74

• baaivision/Emu3

  Next-Token Prediction is All You Need

  Language:Python2k78

• VectorSpaceLab/OmniGen

  OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340

  Language:Jupyter Notebook3.4k281

• showlab/Show-o

  Repository for Show-o, One Single Transformer to Unify Multimodal Understanding and Generation.

  Language:Python1.1k48

• myshell-ai/OpenVoice

  Instant voice cloning by MIT and MyShell. Audio foundation model.

  Language:Python30.6k3k

• ShieldMnt/invisible-watermark

  python library for invisible image watermark (blind image watermark)

  Language:Python1.7k153

• githubvpn007/proxy

  proxy、proxy server、代理协议、代理服务器、代理协议说明、ss、ssr、v2ray、trojan、Clash、V2rayN、Qv2ray、V2rayW、V2RayS、Mellow、V2rayX、V2rayU、ClashX、Kitsunebi、BifrostV、i2Ray 、Quantumult、Surge 4、winXray、Qv2ray、Kitsunebi、Trojan-Qt5

  25833

• githubvpn007/v2rayNvpn

  翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/ssr/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子 、外网游戏、国外游戏、vpn、vpn推荐、每天更新、上外网、外网、V2rayN、Qv2ray、V2rayW、V2RayS、Mellow、V2rayX、V2rayU、ClashX、Kitsunebi、BifrostV、i2Ray 、Quantumult、Surge 4、winXray、Qv2ray、Kitsunebi、Trojan-Qt5、代理服务器、机场、马里奥、魔兽世界、poshMark、亚马逊、虾皮、煤炉、Mercari、外贸

  4.4k358

• teacherpeterpan/self-correction-llm-papers

  This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.

  48728

• OpenInterpreter/open-interpreter

  A natural language interface for computers

  Language:Python57.9k5k

• wilicc/gpu-burn

  Multi-GPU CUDA stress test

  Language:C++1.5k304

• kourgeorge/arxiv-style

  A Latex style and template for paper preprints (based on NIPS style)

  Language:TeX1.2k323

• tatarchm/tangent_conv

  Tangent Convolutions for Dense Prediction in 3D

  Language:Python12226

• drprojects/superpoint_transformer

  Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"

  Language:Python70186