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anycnn

Created 01/2018: Terminal Application to used to gather data and train CNN image classifiers for any provided csv set of categories

dailyquant

DailyQuant utilizes Convolutional Neural Networks to analyze historical stock data and predict the following day's categorial quantile range for percentage gains.

daohqswaps

deepwave

A Deep Learning Approach leveraging Transformer style Architectures for signal classification

factionfinancial

Codebase for Faction Financial DAO

gpt-2-simple

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

mindbuilderartist

Welcome to ArtistAI, a custom built training script for Generative Adversarial Networks capable of producing any image it can get its hands on

ore-cli2

pihome

A smart home server with integration between Raspberry Pi LIRC & Amazon Alexa skills

pytorch-translm

An implementation of transformer-based language model for sentence rewriting tasks such as summarization, simplification, and grammatical error correction.

qlearn

Python Library for expressing Quantum Machine Learning Algorithms as well as utilzing core Quantum computing functionality to model quantum behavior.

quantgenie

Quant Genie uses a Unet variant to learn and synthesize future stock chart predictions for any publicly traded stock. Usage will require user to choose the working directory and program will run on any computer with python 3.5+.

smart-transcribe

GPT Davinci explanations of transcribed keywords

sx-evm-per-proposal-strategies

Core smart contracts of Snapshot X for EVM