Jody 3t's repositories
awesome-ipfs
Useful resources for using IPFS and building things on top of it
ccxt
A JavaScript / Python / PHP cryptocurrency trading API with support for more than 120 bitcoin/altcoin exchanges
dalle-playground
A playground to generate images from any text prompt based on OpenAI's DALL-E https://openai.com/blog/dall-e/
deep-learning-notes
Experiments with Deep Learning
DNC
Differentiable neural computer experiments
dss
Dai Stablecoin Simulation
fast-stable-diffusion
fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth
FinRL-Library
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥
grid-sensor
Grid Sensor Components for Unity ML-Agents
hummingbot
Hummingbot: a client for crypto market making
matrix-dotnet-sdk
A matrix client library in .NET (C#)
ml-agents-hyperparams
Automated Hyperparameter Search for Unity ML-Agents
monoplasma
Unidirectional payment distribution channel with monotonically increasing balances
nupic
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
pybacktest
Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast
ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
ru-dalle
Generate images from texts. In Russian
stable-diffusion-webui-spawnart
Stable Diffusion web UI connecting to SpawnArt backend
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.
streamlit
Streamlit — The fastest way to build custom ML tools
tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
TimeSeries_Seq2Seq
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
UNI_V3-Liquitidy-amounts-calcs
Python library to emulate the calculations done in liquiditymath.sol of UNI_V3 peryphery contract
uniswapv3-calculator
Uniswap V3 Fee Calculator created with React & Typescript