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mtcnn-light

this repository is the implementation of MTCNN with no framework, Just need opencv and openblas, support linux and windows

open_nsfw

code for running Model and code for Not Suitable for Work (NSFW) classification using deep neural network Caffe models

prepare-faces-zyf

prepare faces for face recognition training

pynetbuilder

pyNetBuilder is a modular pytonic interface with builtin modules for generating popular caffe prototxt network file definitions.

python

利用python来分析一些财务报表数据

quantitative-analysis

券商金工研报复现

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

refinedet

Single-Shot Refinement Neural Network for Object Detection

research

dataset and code for 2016 paper "Learning a Driving Simulator"

segmentation

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

self-driving-car

The Udacity open source self-driving car project

sequoia

A股自动选股程序，实现了海龟交易法则、缠中说禅牛市买点，以及其他若干种技术形态

sharpe

sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinforcement learning) in the context of quantitative trading

slambook

slimmable_networks

Slimmable Networks, ICLR 2019

slimyolov3

This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications

sphereface

Implementation of Sphere Face loss function

stock

30天掌握量化交易 (持续更新)

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock_data

综合使用tushare 和 BaoStock, 将关注的股票数据保存到本地, 定时更新, 以便后续进行量化分析.

stock_dcf

对郭永清老师的《财务报表分析与股票估值》这本书内容的实现

stock_deeplearning

this project is developing to get stock day trade data, back test trade strategy and used deep-learning to train stock base on tensorflow

stock_market

strategy

temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

the-purchase-and-redemption-forecast-challenge-baseline

天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5

trading_gym

a unified environment for supervised learning and reinforcement learning in the context of quantitative trading

transformerquant

A framework for training and evaluating deep learning models in Quantitative trading domain

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

triplet-reid

Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.