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sdjafkhk's Projects

baiduexporter icon baiduexporter

Assistant for Baidu to export download links to aria2/aria2-rpc

finalspeed-1 icon finalspeed-1

高速双边加速软件,在高丢包,延迟环境下仍可达到90%物理带宽利用率.

firm-characteristics-and-chinese-stock-market icon firm-characteristics-and-chinese-stock-market

It is a project that conducts a study on predicting the cross section of Chinese stock market returns with a large panel of 75 individual firm characteristics and also uses “big-data” econometric methods.

hysteria icon hysteria

Hysteria is a feature-packed network utility optimized for networks of poor quality (e.g. satellite connections, congested public Wi-Fi, connecting from China to servers abroad)

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

mxnet-the-straight-dope icon mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

resnetgpt icon resnetgpt

用Resnet101+GPT搭建一个玩王者荣耀的AI

stock-prediction-models icon stock-prediction-models

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

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

v2ray-agent icon v2ray-agent

(VLESS+TCP+TLS/VLESS+TCP+XTLS/VLESS+WS+TLS/VMess+TCP+TLS/VMess+WS+TLS/Trojan/Trojan-Go WS)+伪装博客、七合一共存脚本,支持多内核安装

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