hfwittmann Goto Github PK

alpacatag

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)

annotated-transformer

An annotated implementation of the Transformer paper.

bert_fine_tuning_lightning

Paradigm Shift The dawn of the new era has been witness to a true paradigm shift. The new motto and secret sauce is: Finetuning.

caminte

Cross-db ORM for NodeJS

chess-alpha-zero

Chess reinforcement learning by AlphaGo Zero methods.

clicker

Ionic 2 + @angular/cli Seed Project : Angular2 + Typescript + Karma + Protractor + Travis

colab-mlflow-papermill

Colab,  MLflow and papermill are individually great. Together they form a dream team.

comparison-tensorflow-keras

Comparison of a very simple regression in tensorflow and keras

covid19-dashboard

Covid19 Dashboard with Maps, Timeseries and Automated Predictions

d6tflow

Python library for building highly effective data science workflows

d6tflow-template

Project templates with common design patterns for d6tflow

dash

some plotly dash configurations

deep_qlearning_cartpole

My Journey Into Deep Q-Learning with Keras and Gym

deployd

a toolkit for building realtime APIs

environment

examples

financial-timeseries-dashboard

# financial timeseries dashboard This port is very much about technologie integration. Its aim is to build a dashboard that allows the display of financial timeseries of multiple stocks simultaneously.

frame

:bulb: A user system API starter

future

gym-connect-four

Open AI Gym for ConnectFour game

gym_drifty_walk

This is a illustration of how to extend OpenAI with a simple environment.

gym_game_nim

hapi-auth-jwt2

:lock: Secure Hapi.js authentication plugin using JSON Web Tokens (JWT) in Headers, Query or Cookies

hellophonegap

ionic-mocks

kedro

A Python framework for creating reproducible, maintainable and modular data science code.

kedro-plugins

First-party plugins maintained by the Kedro team.

knime-multivariate-time-series-forcasting-with-neural-networks

langchain-examples

matrix-operations-with-pytorch

Replicate matrix operations with gradient descent