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Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…
A MNIST-like fashion product database. Benchmark 👇
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
[ICML2021] What Makes for End-to-End Object Detection
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
The GitHub Archive Program & Arctic Code Vault
The code of "Attention Guided Network for Retinal Image Segmentation" in MICCAI 2019
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
Comprehensive and open-source library of analysis tools for MRI of the spinal cord.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
OpenMMLab Detection Toolbox and Benchmark
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training, ECCV 2020
A treasure chest for visual classification and recognition powered by PaddlePaddle
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
The most cited deep learning papers
Dataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction". And for the ECCV'20 SimAug paper.
A best practice for tensorflow project template architecture.