awesome-attention-mechanism-in-cv. Awesome List of Attention Modules and Plug&Play Modules in Computer Vision
1.3kSimpleCVReproduction. Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
1.3kAwesome-LLM-Quantization. Awesome list for LLM quantization
431SimpleCVPaperReading. :smile:博客论文列表:分系列整理
385Awesome-LLM-Prune. Awesome list for LLM pruning.
297deep_sort_yolov3_pytorch. Replication of MOT project - DeepSort with attention blocks.
218voc2007_for_yolo_torch. :punch: Prepare VOC format datasets for ultralytics/yolov3 & yolov5
198Awesome-Efficient-MoE. Efficient Mixture of Experts for LLM Paper List
184ultrascale-playbook-zh. UltraScale Playbook 中文版
165captcha.Pytorch. 验证码识别比赛code,针对数字,大小写字母能达到97-99%的准确率
137landmark_annotation. :punch: Keypoint/Landmark Annotation Software 关键点标注软件
126captcha_identify.pytorch. 基于torch进行验证码识别,识别率达94%
120Pruner-Zero. [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
100PyTorch-CIFAR-Model-Hub. Implementation of Conv-based and Vit-based networks designed for CIFAR.
70timm. PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
59GoodsRecognition.MindSpore. 基于MindSpore AI框架实现零售商品识别 top1方案
47datawhale_cv_competition. 布匹缺陷识别练习赛
47QPainter. CPP intern,Sotfware,Painter
27Vision-Mamba-CIFAR10. Python
24reid_for_deepsort. simple reid for deep sort
23CVPR2022-NAS-competition-Track1-3th-solution. Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23
23STBLLM. [ICLR25] STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
20ACBench. [ICML25] Agentic Compression Benchmark (ACBench)
16darknet-loss-Drawer. This repository is developed on the basis of pyqt5, mainly through the log files generated during the running of Darknet, and then draw loss files.
15faster-rcnn.Supernova. 基于faster-rcnn.pytorch改进,超新星识别比赛code
15LPZero. [EMNLP24]LPZero: Language Model Zero-Cost Proxy Search from Zero
11PicoNAS. Modularized NAS Framework
9yolo_deep_sort_pytorch. attention, cbam, se
7CUDA_NMS. Use cuda to speed up the implementation of nms algorithm
6ofa-cifar. :star: Make Once for All support CIFAR10 dataset.
6yolov3.keras. yolov3.keras for VOC2007
6mixed_precision_imagenet_benchmark. ResNet50在ImageNet上混合精度
5ClipLLM. Clipboard-Centric LLM conversation tools
4lightllm-gradio. Based on LightLLM, we provide interface using Gradio. Feel free to use!
452RL. Reforcement Learning in DataWhale
4simple_deep_sort. deep sort with yolov3. Modify darknet based yolov3 to pytorch based yolov3.
4Mnc-javacc. Implementing the Minic compiler with javacc
3ArchVizD3. zero-cost proxy visualization on NAS-Bench-201 using d3.js
3AutoRF. AutoRF: Learning Receptive Fields with Spatial Pooling
3MAE-CIFAR. PyTorch implementation of Masked Autoencoder on CIFAR
2BitNet. Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
2Paper2Blog. Convert academic paper to blog
2pprp.
1ChatPaper. Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文总结+润色+审稿+审稿回复
1mmrazor. OpenMMLab Model Compression Toolbox and Benchmark.
1Paper-Writing-Tips. MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
1NASLib. NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.
1NAS-Bench-201-refactor. Original version of NAS-Bench-201 from AngleNAS
1aw_nas. aw_nas: A Modularized and Extensible NAS Framework
1LMFlow. An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
1Awesome-Efficient-LLM. A curated list for Efficient Large Language Models
1