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pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

pytorch_classification

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

quantaxis

QUANTAXIS 股票/期货/自定义市场 数据/回测/模拟/交易/可视化 纯本地一站式解决方案

react-mxgraph-typescript-starter

React 16 mxgraph-js and typescript starter template based on create-react-app

redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

resnext-pytorch

scada

Contains Rapid SCADA sources

shapeprop

Learning Saliency Propagation for Semi-supervised Instance Segmentation

sharpscada

C# SCADA

shc

siggraphasia2019_remastering

Code for the paper "DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement". http://iizuka.cs.tsukuba.ac.jp/projects/remastering/

skill-map

程序员技能图谱

ssd_for_tensorflow

SSDSingle Shot MultiBox Detector目标检测算法基于tensorflow的实现

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

streaming-benchmarks

Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...

superobject

A fast Delphi JSON parser - Fork of http://code.google.com/p/superobject/

tensorflow2.0_ssd

A tensorflow_2.0 implementation of SSD (Single Shot MultiBox Detector) .

typeflow-editor

vue + mxGraph to build the draw tool for Typeflow

u-2-net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

webhdfs-java-client

WebHDFS java client using Kerberos

yet-another-efficientdet-pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.