Victor Yuzhang Huang's starred repositories
GroundingDINO
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Grounded-SAM-2
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
Wildfire-Smoke-Detection
Convolutional neural network model based on the architecture of the Faster-RCNN for wildfire smoke detection.
AI-Financial-Analysis
A tool for extracting and analyzing a company's finances
bitcoin-arbitrage
Bitcoin arbitrage - opportunity detector
cryptocurrency-arbitrage
A cryptocurrency arbitrage opportunity calculator. Over 800 currencies and 50 markets.
wondertrader
WonderTraderββιεη εδΊ€ζδΈη«εΌζ‘ζΆ
QuantResearch
Quantitative analysis, strategies and backtests
awesome-ai-in-finance
π¬ A curated list of awesome LLMs & deep learning strategies & tools in financial market.
TrendMaster
Using Transformer deep learning architecture to predict stock prices.
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
nautilus_trader
A high-performance algorithmic trading platform and event-driven backtester
Superalgos
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
Crypto-Signal
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
intelligent-trading-bot
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
wildfire-detection
This repository showcases our work on using computer vision to detect wildfires. Explore the code, model, and results of our research on wildfire prevention.
qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
FinRL_Podracer
Cloud-native Financial Reinforcement Learning
TwitterSentimentAnalysisTool
This tool is developed to scrape twitter data, process the data, and then create either an unsupervised network to identify interesting patterns or can be designed to specifically verify a concept or idea.
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.
TradingView-Machine-Learning-GUI
Embark on a trading journey with this project's cutting-edge stop loss/take profit generator, fine-tuning your TradingView strategy to perfection. Harness the power of sklearn's machine learning algorithms to unlock unparalleled strategy optimization and unleash your trading potential.