geoffreysteven
Full Stack Entrepreneur with multiple exits; my expertise is in Artificial Intelligence
Vancouver
geoffreysteven's Stars
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
openai/evals
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
brycedrennan/imaginAIry
Pythonic AI generation of images and videos
norvig/paip-lisp
Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
eladrich/pixel2style2pixel
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
mauhai/awesome-jupyterlab
A curated list of awesome JupyterLab extensions and resources
CVCUDA/CV-CUDA
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
id-Software/quake2-rerelease-dll
lilianweng/stock-rnn
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
ZhengyaoJiang/PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
VivekPa/AIAlpha
Use unsupervised and supervised learning to predict stocks
LastAncientOne/Stock_Analysis_For_Quant
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
yhilpisch/py4fi2nd
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
scorpionhiccup/StockPricePrediction
Stock Price Prediction using Machine Learning Techniques
PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
ScottfreeLLC/AlphaPy
Python AutoML for Trading Systems and Sports Betting
Hvass-Labs/FinanceOps
Research in investment finance with Python Notebooks
ematvey/pybacktest
Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast
AsyncAlgoTrading/aat
Asynchronous, event-driven algorithmic trading in Python and C++
kylejusticemagnuson/pyti
Python library of various financial technical indicators
philipxjm/Deep-Convolution-Stock-Technical-Analysis
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
google/h2e_technical_documentation
pushpendughosh/Stock-market-forecasting
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
jamesmawm/mastering-python-for-finance-second-edition
Sources codes for: Mastering Python for Finance, Second Edition
NGYB/Stocks
Programs for stock prediction and evaluation
happynoom/DeepTrade
A LSTM model using Risk Estimation loss function for stock trades in market
shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading
Using deep actor-critic model to learn best strategies in pair trading
khramkov/Backtrader-MQL5-API
Python Backtrader - Metaquotes MQL5 - API
kartikmadan11/MetaTraderForecast
RNN based Forecasting App for Meta Trader and similar trading platforms