[MICCAI'22] Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Data Efficient Model Compression

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

trustworthy AI related projects

[CVPR2020] Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"

[CVPR2020] CARS: Continuous Evolution for Efficient Neural Architecture Search

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

Bolt is a deep learning library with high performance and heterogeneous flexibility.

Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

A Pytorch implementation of "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019).

Pytorch code for paper: Full-Stack Filters to Build Minimum Viable CNNs

Pytorch code for paper: Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018)

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).

Stream Data Mining Library for Spark Streaming

Caffe: a fast open framework for deep learning.

个人学习总结

Models and examples built with TensorFlow

Tensorflow tutorial from basic to hard

使用Tensorflow训练模型的基本流程

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

The Tensorflow with tflearn implementation of the RCNN model.

learn in datamining

open-source feature selection repository in python (DMML Lab@ASU)

A Basic Tutorial to learning Caffe with Python, including two examples for classification and detection, and codes to train, test, prune and compress Net.