Stars
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Algorithm to texture 3D reconstructions from multi-view stereo images
EPFL Course - Optimization for Machine Learning - CS-439
Matplotlib styles for scientific plotting
Computer vision assisted tool to extract numerical data from plot images.
Companion webpage to the book "Mathematics For Machine Learning"
Python code for "Probabilistic Machine learning" book by Kevin Murphy
This repo is for the IBM MIT AI Lab to use DLaaS in IBM Watson Studio. The demo will use Pytorch to train VGG for CIFAR10. The code is forked from kuangliu (https://github.com/kuangliu/pytorch-cifa…
A course in reinforcement learning in the wild
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
[AAAI 2018] "Towards distributed coevolutionary GANs" by Abdullah Al-Dujaili, Tom Schmiedlechner, Erik Hemberg, Una-May O'Reilly
[IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O’Reilly
Template for creating a Watson app with initial training for its conversation service
A toolkit for developing and comparing reinforcement learning algorithms.
Data Cleaning Libraries with Python
PyTorch Tutorial for Deep Learning Researchers
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
2013 IEEE CEC Competition on Niching Methods for Multimodal Optimization
Black-Box Multi-Objective Optimization Benchmarking Platform