langdaoliu's Stars
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
google/sanitizers
AddressSanitizer, ThreadSanitizer, MemorySanitizer
Visualize-ML/Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;上架!
Visualize-ML/Book3_Elements-of-Mathematics
Book_3_《数学要素》 | 鸢尾花书:从加减乘除到机器学习;上架;欢迎继续纠错,纠错多的同学还会有赠书!
Deci-AI/super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Visualize-ML/Book5_Essentials-of-Probability-and-Statistics
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
Visualize-ML/Book7_Visualizations-for-Machine-Learning
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
QianyanTech/Image-Downloader
Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.
Visualize-ML/Book6_First-Course-in-Data-Science
Book_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;欢迎大家批评指正!纠错多的同学会得到赠书感谢!
alibaba/EasyCV
An all-in-one toolkit for computer vision
yassouali/pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
Fafa-DL/Awesome-Backbones
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
sudharsan13296/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
NVIDIA-AI-IOT/Lidar_AI_Solution
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
kemaloksuz/ObjectDetectionImbalance
Lists the papers related to imbalance problems in object detection [TPAMI]
voldemortX/pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
Westlake-AI/openmixup
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
PointsCoder/Awesome-3D-Object-Detection-for-Autonomous-Driving
3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)
luohenyueji/OpenCV-Practical-Exercise
OpenCV practical exercise
Deeachain/Segmentation-Pytorch
Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet
Oneflow-Inc/libai
LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
wxkang157/PytorchPipeline
Pytorch pipeline template
TianhaoFu/Awesome-3D-Semantic-Segmentation
Papers, code and datasets about deep learning for 3D Semantic Segmentation.
AndyYuan96/PointCloudDynamicVoxel
yjh0410/PyTorch_YOLO_Tutorial
YOLO Tutorial
haibo-qiu/GFNet
[TMLR 2022] Geometric Flow Network for 3D Point Cloud Semantic Segmentation
fengjiang5/Knowledge-Distillation-from-Cylinder3D-to-PolarNet