chenglong6622 Goto Github PK

autogluon

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

datamining

learn in datamining

deepfacelab

DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepnude-an-image-to-image-technology

DeepNude's pix2pixHD algorithms(proposed by NVIDIA) and general-purpose Image-to-Image theory and practice research. DeepNude的pix2pixHD算法（英伟达提出）以及通用的Image-to-Image理论与实践研究。

deepnude_nowatermark_withmodel

DeepNude source code，without watermark （去水印），with demo and model download link，one command to run offline，GAN/Pytorch/pic2pic

deepnude_official

dhydra

主要针对多数据源多策略实时计算的量化分析开发框架。提供新浪Level2等数据获取

dlstock

探索深度学习应用在股票的方法

docs

TensorFlow documentation

echartsmap

Echarts+Amap实现地图点击下钻

frenet_path_planning

无人车路径规划算法demo

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

gpt4free

decentralising the Ai Industry, free gpt-4/3.5 scripts through several reverse engineered api's ( poe.com, phind.com, chat.openai.com, phind.com, writesonic.com, sqlchat.ai, t3nsor.com, you.com etc...)

jarvis

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

jd_maotai_seckill

lotterypredict

TensorFlow实战，使用LSTM预测彩票

lstm-for-stock

machinelearningnote

machinelearningwithme

A repository contains more than 10 common statistical machine learning algorithm implementations.

opencamera

各种浏览器打开摄像头并截图,

predictstock

Use NeuralNetwork and TensorFlow to predict Stock

pytdx

Python tdx数据接口

pythonstockmd

receive Stock MarketData on python

stdn

Code for our Spatiotemporal Dynamic Network

stock

stock_predict_with_lstm

stock_predict_with_LSTM

tdengine

An open-source big data platform designed and optimized for the Internet of Things (IoT).

tdxtradeserver

TongDaXin Tarde Server 通达信交易服务器

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)