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alto-academy-part3-class2-big-data

alto-academy-part3-class3-dashboard

analystgpt

bigdata-workshop-es

Workshop Big Data en Español

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

codespaces-test

cql

Code for conservative Q-learning

cv-notebooks

Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos.

dash-by-plotly

Interactive data analytics

dash-sample-apps

Open-source demos hosted on Dash Gallery

deep-aesthetics-pytorch

PyTorch implementation of "Photo Aesthetics Ranking Network with Attributes and Content Adaptation" by Kong et al. (ECCV 2016)

deep-reinforcement-learning

Deep Reinforcement Learning - Implementations and Theory: A path to mastery

deep-rl-space

deep_learning

added all materials

drl-hands-on-book

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

epjom-bot

generative_deep_learning_2nd_edition

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hotel-dash

maid-dashboard

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

ml-production-workflow

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

neural-image-assessment

A PyTorch Implementation of Neural IMage Assessment

openai-cookbook

Examples and guides for using the OpenAI API

opentaps_seas

opentaps Smart Energy Applications Suite

ppo-implementation-details

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-collection