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Isaac T. Nicholaus's Projects

aialpha icon aialpha

Use unsupervised and supervised learning to predict stocks

alf icon alf

Agent Learning Framework https://alf.readthedocs.io

awesome-automl icon awesome-automl

Curating a list of AutoML-related research, tools, projects and other resources

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

babyrobot icon babyrobot

A Baby Robot's Guide to Reinforcement Learning

cadp icon cadp

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?

computer_graphics2020 icon computer_graphics2020

Master's Degree class 2020, at 3rd semester (Dongseo University), Instructor: Lee Byung Gook, Professor

ddqn-per icon ddqn-per

Double Deep Q-Learning with Prioritized Experience Replay

deep-learning-for-hackers icon deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deep-reinforcement-learning-algorithms icon deep-reinforcement-learning-algorithms

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

django icon django

Django with Python and Javascript

evaluate icon evaluate

A library for easily evaluating machine learning models and datasets.

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