Pinned Repositories
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
AI_Challenger
AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world.
AlphaPose
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
android-ssl
Example Android project using HTTPS/SSL with client certificates and self-signed server certificate
android-TFDetect
an android app using Tensorflow for Object Detection
gradio
Create UIs for your machine learning model in Python in 3 minutes
tide
A General Toolbox for Identifying Object Detection Errors_目标检测对模型错误详细分析可视化
LiJunY's Repositories
LiJunY/ann-benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
LiJunY/autodistill
Images to inference with no labeling (use foundation models to train supervised models).
LiJunY/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
LiJunY/Awesome-Open-Vocabulary
(TPAMI 2024) A Survey on Open Vocabulary Learning
LiJunY/Awesome-Open-Vocabulary-Object-Detection
A curated list of papers, datasets and resources pertaining to open vocabulary object detection.
LiJunY/blossom
A markdown editor that you can deploy on your own servers to achieve cloud storage and device synchronization（支持私有部署的云端存储双链笔记软件）
LiJunY/ChatGPT-Shortcut
Maximize your efficiency and productivity. 让生产力加倍的 ChatGPT 快捷指令，按照领域和功能分区，可对提示词进行标签筛选、关键词搜索和一键复制。
LiJunY/CompoDiff
Official Pytorch implementation of "CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion"
LiJunY/dataheroes
目标检测数据清洗
LiJunY/DeltaEdit
LiJunY/dify
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
LiJunY/dl_scripts
LiJunY/DoctorGLM
基于ChatGLM-6B的中文问诊模型
LiJunY/intro-llm-rag
LLM Models and RAG Hands-on guide
LiJunY/ipyplot
IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.
LiJunY/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
LiJunY/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
LiJunY/notebooks
各种预训练模型
LiJunY/nvitop_-CPU-
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
LiJunY/OCR-SAM
Combining MMOCR with Segment Anything & Stable Diffusion. Automatically detect, recognize and segment text instances, with serval downstream tasks, e.g., Text Removal and Text Inpainting
LiJunY/ONNX-YOLOv8-Object-Detection
Python scripts performing object detection using the YOLOv8 model in ONNX.
LiJunY/opencompass
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
LiJunY/recognize-anything
Code for the Recognize Anything Model (RAM) and Tag2Text Model
LiJunY/Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
LiJunY/Segment-Everything-Everywhere-All-At-Once
Official implementation of the paper "Segment Everything Everywhere All at Once"
LiJunY/stable-diffusion-webui
Stable Diffusion web UI
LiJunY/stable-diffusion-webui-docker
Easy Docker setup for Stable Diffusion with user-friendly UI
LiJunY/TensorRT-Alpha
🔥🔥🔥TensorRT-Alpha supports YOLOv8、YOLOv7、YOLOv6、YOLOv5、YOLOv4、v3、YOLOX、YOLOR...🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎It also supports end2end CUDA C acceleration and multi-batch inference.
LiJunY/VLM_survey
Collection of AWESOME vision-language models for vision tasks
LiJunY/YOLOv8API
Flask API for object detection and instance segmentation using YOLOv8