Wykay

Wykay's Stars

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.2k286422.3k

• Stability-AI/generative-models

  Generative Models by Stability AI

  Language:Python24.6k2583112.7k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python14.2k1191.1k1.3k

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.9k1263142.1k

• triton-lang/triton

  Development repository for the Triton language and compiler

  Language:C++13.4k1931.5k1.6k

• BradyFU/Awesome-Multimodal-Large-Language-Models

  :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

  12.7k270120809

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python10.7k70106686

• apple/ml-ferret

  Language:Python8.5k1590498

• IDEA-Research/GroundingDINO

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

  Language:Python6.7k42303685

• IDEA-Research/DINO

  [ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

  Language:Python2.3k32264253

• facebookresearch/Detic

  Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

  Language:Python1.9k21103210

• ytongbai/LVM

  Language:Python1.8k1202254

• Hedlen/awesome-segment-anything

  Tracking and collecting papers/projects/others related to Segment Anything.

  1.5k6214133

• IDEA-Research/awesome-detection-transformer

  Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

  1.3k5810111

• facebookresearch/MetaCLIP

  ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering

  Language:Python1.3k123154

• sfzhang15/ATSS

  Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020

  Language:Python1.1k24103162

• luo3300612/Visualizer

  assistant tools for attention visualization in deep learning

  Language:Jupyter Notebook1k32580

• airsplay/lxmert

  PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

  Language:Python93518113158

• henghuiding/ReLA

  [CVPR2023 Highlight] GRES: Generalized Referring Expression Segmentation

  Language:Python65652419

• OpenGVLab/all-seeing

  [ICLR 2024 & ECCV 2024] The All-Seeing Projects: Towards Panoptic Visual Recognition&Understanding and General Relation Comprehension of the Open World"

  Language:Python459232216

• amazon-science/bigdetection

  BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

  Language:Python39381025

• lucidrains/memory-efficient-attention-pytorch

  Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"

  Language:Python3609634

• jozhang97/DETA

  Detection Transformers with Assignment

  Language:Python24452520

• alirezazareian/ovr-cnn

  A new framework for open-vocabulary object detection, based on maskrcnn-benchmark

  Language:Python22652828

• xk-huang/segment-caption-anything

  [CVPR 24] The repository provides code for running inference and training for "Segment and Caption Anything" (SCA) , links for downloading the trained model checkpoints, and example notebooks / gradio demo that show how to use the model.

  Language:Python1997157

• 198808xc/Vision-AGI-Survey

  A temporary webpage for our survey in AGI for computer vision

  118600

• jianzongwu/betrayed-by-captions

  (ICCV 2023) Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation

  Language:Jupyter Notebook45784

• yangbang18/MultiCapCLIP

  (ACL'2023) MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning

  Language:Python35351

• TencentARC/FLM

  Accelerating Vision-Language Pretraining with Free Language Modeling (CVPR 2023)

  Language:Python31601

• xk-huang/Promptable-GRiT

  Promptable GRiT: support inference with both automatic proposal generation and custom point/box prompts.

  Language:Python4000