fakerhbj's starred repositories
Object-Detection-Knowledge-Distillation
An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.
Distilling-Object-Detectors
Implementation of CVPR 2019 paper: Distilling Object Detectors with Fine-grained Feature Imitation
Knowledge_distillation_Pruning_Yolov5
本项目支持对剪枝后的yolov5模型进行知识蒸馏训练(This project supports knowledge distillation training for the pruned YOLOv5 model)
objectdetection_script
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
hot_searches_for_apps
获取微博、知乎、微信、百度、抖音等65个平台的热搜，按天归档。
efficientteacher
A Supervised and Semi-Supervised Object Detection Library for YOLO Series
ultralytics-with-noise
Add noise for object detection.
GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。
ultralytics
Copy of ultralytic with other form of improvement added
ChatGPT-Next-Web
A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。
copilot-gpt4-service
Convert Github Copilot to ChatGPT
MaterialSearch
AI语义搜索本地素材。以图搜图、查找本地素材、根据文字描述匹配画面、视频帧搜索、根据画面描述搜索视频。Semantic search. Search local photos and videos through natural language.
stable-diffusion-webui
Stable Diffusion web UI
AnimateDiff
Official implementation of AnimateDiff.
Awesome-AITools
Collection of AI-related utilities. Welcome to submit issues and pull requests /收藏AI相关的实用工具，欢迎提交issues 或者pull requests
yolo-tensorrt
TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
onnxruntime-inference-examples
Examples for using ONNX Runtime for machine learning inferencing.
dl_model_infer
🚀🚀🚀This is an AI high-performance reasoning C++ library, Currently supports the deployment of yolov5, yolov7, yolov7-pose, yolov8, yolov8-seg, yolov8-pose, yolov8-obb, yolox, RTDETR, DETR, depth-anything, yolop, yolopv2, SMOKE, yolov9 and other models.🚀🚀🚀
micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
transformers-code
手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube
fast_yolov7_pytorch
Using pruning and quantization algorithm to accelerate your yolov7's inference.
Python_Crawler
Python爬虫和Python数据分析小项目(Some Python crawlers and data analysis projects)