vistapath-dan

vistapath-dan's Stars

• BaranziniLab/KG_RAG

  Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

  Language:Jupyter Notebook72496

• zhanghm1995/Forge_VFM4AD

  A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.

  24510

• JamesQFreeman/LoRA-ViT

  Low rank adaptation for Vision Transformer

  Language:Python37319

• TianxingWu/FreeInit

  [ECCV 2024] FreeInit: Bridging Initialization Gap in Video Diffusion Models

  Language:Python50124

• LTH14/rcg

  PyTorch implementation of RCG https://arxiv.org/abs/2312.03701

  Language:Python89440

• cvlab-stonybrook/SelfMedMAE

  Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"

  Language:Python12013

• csrhddlam/axial-deeplab

  This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)

  Language:Python45069

• camlaedtke/segmentation_pytorch

  Simple image segmentation pipeline in pytorch, using HRNet and SegFormer models

  Language:Jupyter Notebook8210

• ashleve/lightning-hydra-template

  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

  Language:Python4.4k664

• MedMNIST/MedMNIST

  [pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

  Language:Python1.1k171

• google/style-aligned

  Official code for "Style Aligned Image Generation via Shared Attention"

  Language:Python1.2k92

• SHI-Labs/Smooth-Diffusion

  Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models arXiv 2023 / CVPR 2024

  Language:Python3278

• MeetKai/functionary

  Chat language model that can use tools and interpret the results

  Language:Python1.5k116

• SUDO-AI-3D/zero123plus

  Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

  Language:Python1.8k129

• Alpha-VLLM/LLaMA2-Accessory

  An Open-source Toolkit for LLM Development

  Language:Python2.7k176

• apexrl/Diff4RLSurvey

  This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"

  49221

• google/break-a-scene

  Official implementation for "Break-A-Scene: Extracting Multiple Concepts from a Single Image" [SIGGRAPH Asia 2023]

  Language:Python50624

• Picsart-AI-Research/Text2Video-Zero

  [ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators

  Language:Python4.1k355

• IBM/ModuleFormer

  ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward experts. We released a collection of ModuleFormer-based Language Models (MoLM) ranging in scale from 4 billion to 8 billion parameters.

  Language:Python21611

• microsoft/LMOps

  General technology for enabling AI capabilities w/ LLMs and MLLMs

  Language:Python3.8k286

• microsoft/NUWA

  A unified 3D Transformer Pipeline for visual synthesis

  2.8k163

• facebookresearch/vissl

  VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

  Language:Jupyter Notebook3.3k334

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook15.8k2.3k

• martijnfolmer/CVSimilarityViaEmbedding

  Language:Python176

• superjamessyx/Generative-Foundation-AI-Assistant-for-Pathology

  Language:Python975

• SuperMedIntel/Medical-SAM-Adapter

  Adapting Segment Anything Model for Medical Image Segmentation

  Language:Python1k92

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook3.1k434

• xmed-lab/CLIP_Surgery

  CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

  Language:Jupyter Notebook38026

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook15.5k1.4k

• IDEA-Research/GroundingDINO

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

  Language:Python7.1k718