Aph-xin

Aph-xin's Stars

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python65.1k1.1k011.2k

• infiniflow/ragflow

  RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

  Language:Python28.4k1532.1k2.7k

• qdrant/qdrant

  Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

  Language:Rust21.4k1291.4k1.5k

• IDEA-Research/GroundingDINO

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

  Language:Python7.2k45311729

• open-mmlab/mmcv

  OpenMMLab Computer Vision Foundation

  Language:Python6k851.2k1.7k

• lancedb/lancedb

  Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

  Language:Python5.3k33819365

• salesforce/BLIP

  PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

  Language:Jupyter Notebook5k33202662

• Lordog/dive-into-llms

  《动手学大模型Dive into LLMs》系列编程实践教程

  4.2k259364

• google-research/scenic

  Scenic: A Jax Library for Computer Vision Research and Beyond

  Language:Python3.4k39269440

• mcordts/cityscapesScripts

  README and scripts for the Cityscapes Dataset

  Language:Python2.2k44140606

• milvus-io/bootcamp

  Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

  Language:HTML2k35264602

• FoundationVision/GLEE

  [CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale

  Language:Python1.1k474986

• ArrowLuo/CLIP4Clip

  An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

  Language:Python90413110125

• jianzongwu/Awesome-Open-Vocabulary

  (TPAMI 2024) A Survey on Open Vocabulary Learning

  875261450

• IDEA-Research/Grounding-DINO-1.5-API

  Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series

  Language:Python854144829

• MC-E/DragonDiffusion

  ICLR 2024 (Spotlight)

  Language:Python740412921

• limuloo/MIGC

  [CVPR 2024 Highlight] MIGC and [TPAMI 2024] MIGC++ (Official Implementation)

  Language:Python572221528

• frank-xwang/InstanceDiffusion

  [CVPR 2024] Code release for "InstanceDiffusion: Instance-level Control for Image Generation"

  Language:Python53584229

• Jingkang50/OpenPSG

  Benchmarking Panoptic Scene Graph Generation (PSG), ECCV'22

  Language:Python43369569

• LukasBommes/mv-extractor

  Extract frames and motion vectors from H.264 and MPEG-4 encoded video.

  Language:C31554062

• WongSaang/chatgpt-ui-server

  A ChatGPT UI server based on the Django framework.

  Language:Python308725168

• NVIDIA-AI-IOT/nanoowl

  A project that optimizes OWL-ViT for real-time inference with NVIDIA TensorRT.

  Language:Python28963050

• wjun0830/QD-DETR

  Official pytorch repository for "QD-DETR : Query-Dependent Video Representation for Moment Retrieval and Highlight Detection" (CVPR 2023 Paper)

  Language:Python21844715

• tsunghan-wu/SLD

  🔥 [CVPR2024] Official implementation of "Self-correcting LLM-controlled Diffusion Models (SLD)

  Language:Python162358

• favyen/miris

  MIRIS: Fast Object Track Queries in Video

  Language:Go17178

• zkx06111/ReDiffusion

  Language:Python14150

• everest-project/everest

  Top-K Deep Video Analytics: A Probabilistic Approach

  Language:Python12408

• orm011/seesaw

  (Research) interactive retrieval system+algorithms: find objects of interest within image databases with less human effort

  Language:Jupyter Notebook6402

• uwdb/EQUI-VOCAL

  EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions

  Language:Jupyter Notebook6301

• autodistill/autodistill-owlv2

  OWLv2 base model for use with Autodistill.

  Language:Python5426