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acco-generate

baibuti project

acco_generate_qt

arch2vec

[NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang

awesome-lifelong-continual-learning

A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning

awesome-readme-template

An awesome README template for your projects!

awesome-readme-templates

A collection of awesome readme templates to display on your github profile.

bdimnna

cloud-native-workloads-on-linuxone

In this code we will show how to run open source Cloud-Native workloads on Linux One. LinuxONE is built for open source.

cloudcompute

console-music-player

软件分析设计与建模课程项目，命令行音乐播放器，同时能根据文本内容播放相应的背景音乐

deep-active-learning

Deep Active Learning

deep_learning_algorithm

object detection algorithms and training framework by pytorch

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

dual

Code for IJCAI-2020 paper "On Deep Unsupervised Active Learning"

efficientdet.pytorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

fedma

Code for Federated Learning with Matched Averaging, ICLR 2020.

fedmax

Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning

fedml

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. A short version of our white paper has been accepted by NeurIPS 2020 workshop.

fpn.pytorch

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

gbdt-nas

GBDT-NAS

icp-banking-microservices

ICp Banking Microservices with LinuxONE Community Cloud

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

leetcode

My leetcode solutions (Java/C++)

magicmatrix

This is a magic output of a third-order matrix, which will randomly perform different operations on the matrix according to the will of the third-order matrix and the program, and output different values.

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

ml_implement

mmdetection

OpenMMLab Detection Toolbox and Benchmark

nas_bench_reproduce

reproduce some algos in NAS-Bench-201

ntu-machine-learning

**大学李宏毅老师机器学习