The largest high-quality open-source library of +3400 n8n AI workflows – ready to use, extend, and contribute.

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Node.js sample project for trying out Dev Containers

PostgreSQL extension for VS Code

TypeScript/JavaScript SDK for Gemini and Vertex AI.

A list of 4 digit SIC codes with descriptions for download

This Mod brings current generation VR support to the game Alien: Isolation

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras

A Tensorflow implementation of Capsule Networks

Theano-based implementation of Deep Q-learning

Variation of "Asynchronous Methods for Deep Reinforcement Learning" with multiple processes generating experience for agent (Keras + Theano + OpenAI Gym)[1-step Q-learning, n-step Q-learning, A3C]

Code following along with the Udacity course Machine Learning for Trading

Tensorflow implementation of A3C algorithm

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python

Deep Learning for humans

Accompanying repository for Let's make a DQN / A3C series.

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Asynchronous Methods for Deep Reinforcement Learning

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

TensorFlow-based neural network library

Learning to Learn in TensorFlow

Models and examples built with TensorFlow

An opinionated list of awesome Python frameworks, libraries, software and resources.

A toolkit for developing and comparing reinforcement learning algorithms.