F8LEFT

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

ColossalAI

Making large AI models cheaper, faster and more accessible

lx-music-desktop

一个基于 electron 的音乐软件

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

ControlNet

Let us control diffusion models!

awesome-deep-learning-papers

The most cited deep learning papers

zipline

Zipline, a Pythonic Algorithmic Trading Library

backtrader

Python Backtesting library for trading strategies

tushare

TuShare is a utility for crawling historical data of China stocks

QUANTAXIS

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

YOLOv6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

clearml

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

androguard

Reverse engineering and pentesting for Android applications

aws-sdk-pandas

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

deep-rl-class

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

python-uncompyle6

A cross-version Python bytecode decompiler

pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

pycdc

C++ python bytecode disassembler and decompiler

frida-all-in-one

《FRIDA操作手册》by @hluwa @r0ysue

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

HexRaysCodeXplorer

Hex-Rays Decompiler plugin for better code navigation

MyTT

MyTT将通达信,同花顺,文华麦语言等指标公式,最简移植到Python中,核心库单个文件，仅百行代码,十几个核心函数，神奇的实现所有常见技术指标算法（不依赖talib库）的纯python实现和转换通达信MACD,RSI,BOLL,ATR,KDJ,CCI,PSY等公式,全部基于pandas函数计算方法封装，简洁且高性能，能非常方便的应用在股票指标公式,股市期货量化框架分析,自动程序化交易,数字货币量化等领域,它是您最精练的股市量化工具。Python library with most stock market indicators.

Mortal

🚀🀄️ A fast and strong AI for riichi mahjong, powered by Rust and deep reinforcement learning.

trading-momentum-transformer

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

AI-Toolbox

Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas

pyhexraysdeob

A port of Rolf Rolles' https://github.com/RolfRolles/HexRaysDeob to Python

QuantStudio

x-trend

X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies

frida-tsplugin

typescript autocomplete plugin for frida's java warpper

gmwm

Generalized Method of Wavelet Moments (GMWM) is an estimation technique for the parameters of time series models. It uses the wavelet variance in a moment matching approach that makes it particularly suitable for the estimation of certain state-space models.