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🐼 osparc-simcore simulation framework
Contains open-source services for the osparc simcore platform
Framework for Interpretable Neural Networks
PhysiCell: Scientist end users should use latest release! Developers please fork the development branch and submit PRs to the dev branch. Thanks!
Apply our monocular depth boosting to your own network!
MeTTa programming language implementation
ML for sound generation and processing in Cycling '74's Max programming language
This repository holds the code for working with data from counselchat.com
PacktPublishing / Machine-Learning-for-Algorithmic-Trading-Second-Edition
Forked from stefan-jansen/machine-learning-for-tradingCode and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)
Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
A list of papers on Generative Adversarial (Neural) Networks
Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Interactive Layout-Aware Construction of Bespoke Charts
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way