Drwaish

Drwaish's Stars

• divelab/AIRS

  Artificial Intelligence Research for Science (AIRS)

  Language:Python54463

• FoundationVision/VAR

  [NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

  Language:Jupyter Notebook6.4k428

• InternLM/InternLM-XComposer

  InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions

  Language:Python2.7k159

• KwaiVGI/SynCamMaster

  [ARXIV'24] SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints

  Language:Python2987

• ictnlp/Auto-RAG

  This is the official repository for Auto-RAG.

  Language:Python16914

• YesianRohn/TextSSR

  code for TextSSR paper

  Language:Python791

• PKU-YuanGroup/ConsisID

  Identity-Preserving Text-to-Video Generation by Frequency Decomposition

  Language:Python53027

• IDEA-Research/ChatRex

  Code for ChatRex: Taming Multimodal LLM for Joint Perception and Understanding

  Language:Python1173

• ChenHoy/DROID-Splat

  End-to-End SLAM with camera calibration, monocular prior integration and dense Rendering

  Language:Python28014

• MIC-DKFZ/nnUNet

  Language:Python6.1k1.8k

• basf/mamba-tabular

  Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

  Language:Python1629

• jdh-algo/JoyVASA

  Language:Python56248

• lewis081/CCL-Net

  two-stage framework based method with cascaded contrastive learning for UIE

  Language:Python4

• AlonzoLeeeooo/StableV2V

  The official implementation of the paper titled "StableV2V: Stablizing Shape Consistency in Video-to-Video Editing".

  Language:Python1215

• plageon/HtmlRAG

  HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieval Results in RAG Systems

  Language:Python27922

• DS4SD/docling

  Get your documents ready for gen AI

  Language:Python16.6k845

• getmaxun/maxun

  🔥 Open-source no-code web data extraction platform. Turn websites to APIs and spreadsheets with no-code robots in minutes! [In Beta]

  Language:TypeScript6.2k452

• cvlab-kaist/PF3plat

  Official Implementation of "PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting"

  Language:Python1735

• HelloVision/HelloMeme

  The official HelloMeme GitHub site

  Language:Python53337

• Lakonik/MVEdit

  3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation

  Language:JavaScript30615

• rhymes-ai/Allegro

  Allegro is a powerful text-to-video model that generates high-quality videos up to 6 seconds at 15 FPS and 720p resolution from simple text input.

  Language:Python95548

• MCG-NJU/EMA-VFI

  [CVPR 2023] Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolatio

  Language:Python41742

• ptrvilya/blendify

  Lightweight Python framework that provides a high-level API for creating and rendering scenes with Blender.

  Language:Python78520

• ai4colonoscopy/IntelliScope

  Frontiers in Intelligent Colonoscopy [ColonSurvey | ColonINST | ColonGPT]

  Language:Python463

• microsoft/BitNet

  Official inference framework for 1-bit LLMs

  Language:C++12.5k873

• amjadraza/pandasai-app-gradio

  Language:Python556

• adarshb3/Virtual-Try-On-Application-using-Flask-Twilio-and-Gradio

  This repository contains the code for a virtual try-on application built using Flask, Twilio's WhatsApp API, and Gradio's virtual try-on model. Users can send images via WhatsApp to try on garments virtually, and the results are sent back to them.

  Language:Python31736

• hubertsiuzdak/snac

  Multi-Scale Neural Audio Codec (SNAC) compresses audio into discrete codes at a low bitrate

  Language:Python46026

• cvg/depthsplat

  DepthSplat: Connecting Gaussian Splatting and Depth

  Language:Python61827

• mit-han-lab/efficientvit

  Efficient vision foundation models for high-resolution generation and perception.

  Language:Python2.5k199