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auto-lianliankan

基于python图像识别实现的连连看外挂，可实现QQ连连看秒破

book-exploring-epoll-kqueue-iocp

Rendered version is found at: https://cfsamsonbooks.gitbook.io/epoll-kqueue-iocp-explained/

books-futures-explained

The repository for the book Futures Explained in 200 lines of Rust

csgo_ai

基于yolo的csgo自瞄外挂

flask_movie_site

用Flask构建一个微电影视频网站

majiang_algorithm

麻将胡牌算法以及AI算法

majsoul_wrapper

自动化雀魂AI的SDK，实时解析雀魂对局信息，并模拟鼠标动作出牌

majsoulai

以JianYangAI作后端，进行在线雀魂对局

memo

memo: Writing our own Cheat Engine

my-pytorch-yolov1

this is the code for yolov1 learning

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

onnxruntime-inference-examples

Examples for using ONNX Runtime for machine learning inferencing.

python-telegram-bot

We have made you a wrapper you can't refuse

pytorch-mnist-celeba-gan-dcgan

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

pytorch-unsupervised-segmentation

pytorch-yolov2

Train yolov2 with PyTorch [deprecated]

pytorch_yolov1

A new version of YOLOv1

pytorch_yolov2

rl-stock

📈 如何用深度强化学习自动炒股

rl-teaching_chinese

rust-course

“连续六年成为全世界最受喜爱的语言，无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。<<Rust语言圣经>>拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容，甚至还有JS程序员关注的 WASM 和 Deno 等专题。这可能是目前最用心的 Rust 中文学习教程/书籍

senior-frontend

🔥 🔥🔥 🔥🔥 高级开发工程师必备，打通全栈任督二脉，文档地址gitee版（Senior development engineers must understand the web body of knowledge, document addresses）：https://hejialianghe.gitee.io/

simple-telegram-bot

Simple library, for create telegram bot. Only connector, interfaces and helpers nothing more, clean and simple.

so-vits-svc-chinese-detaild-documents

so-vits-svc中文详细安装、训练、推理使用步骤帮助文档

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.

time-series-forecasting-of-amazon-stock-prices-using-neural-networks-lstm-and-gan-

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

turibot

TuriBot is a simple way to communicate with Telegram APIs in PHP

yolo_v3_tutorial_from_scratch

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite