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awesome-deep-rl

A curated list of awesome Deep Reinforcement Learning resources

awesome-pentest

A collection of awesome penetration testing resources, tools and other shiny things

awesome-rl

Reinforcement learning resources curated

bess-optimizer

Implementation of the FlexPower Three Market BESS Optimization Model in Python using pyomo

calculator

A node.js demo application

citibike_projekt

crypto-rl

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

datasciencenotebooks

Tutorials about Machine Learning and Deep Learning

decisiveml

Machine learning end-to-end research and trade execution

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

docuchat

dot

The Deepfake Offensive Toolkit

energy-bricks

Energy Bricks is a simple framework for analyzing market risk exposure for wholesale electricity buyers. The tool forecasts prices for nodes in NEISO's network. These forecasts are taken in conjunction with hypothetical load and PPA production forecasts to determine periods of market exposure.

energy-data-and-tools

A collective list of data and tools available in the energy space.

es-rnn-pytorch

This is a work in progress Pytorch implementation of the recently proposed ES-RNN by Slawek Smyl, winner of the M4 competition

fast-stable-diffusion

fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth

finrl

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

gimme-food

Make a shopping list from your favorite recipes

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

ipython_notebooks

Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics and Machine-Learning, Artificial Intelligence (AI), Financial Engineering, Optimization, Stochastic Modelling, Time-Series forecasting, Science in general... and more.

lachat

Flask chat application using socketio

llamaindex-chat-with-streamlit-docs

Build a chatbot powered by LlamaIndex that augments GPT 3.5 with the contents of the Streamlit docs (or your own data).

machine-learning-asset-management

Machine Learning in Asset Management (by @firmai)

metagpt

🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

open-interpreter

OpenAI's Code Interpreter in your terminal, running locally

purple_air_api

Python package to get and transform PurpleAir data

pythondict-quant

Quant Examples Based on Backtrader.

qf_lecture