Pamekitti's repositories
SuperAGI
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
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.
cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
spinningup
Core RL algorithm implementation
drl-hands-on-book
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
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.
dash-sample-apps
Open-source demos hosted on Dash Gallery
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
openai-cookbook
Examples and guides for using the OpenAI API
cv-notebooks
Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos.
gym
A toolkit for developing and comparing reinforcement learning algorithms.
bigdata-workshop-es
Workshop Big Data en Español
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
deep-aesthetics-pytorch
PyTorch implementation of "Photo Aesthetics Ranking Network with Attributes and Content Adaptation" by Kong et al. (ECCV 2016)
Dash-by-Plotly
Interactive data analytics
ppo-implementation-details
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
opentaps_seas
opentaps Smart Energy Applications Suite
rlkit
Collection of reinforcement learning algorithms