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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Python Data Science Handbook: full text in Jupyter Notebooks
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Code for Tensorflow Machine Learning Cookbook
Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.
Training PyTorch models with differential privacy
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Attention based model for learning to solve different routing problems
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
Tensorflow tutorial of building different dynamic recurrent neural network
Simple Implementation of many GAN models with PyTorch.
TensorFlow tutorial on Generative Adversarial Models
Multi-Graph Convolutional Neural Networks
Real NVP PyTorch a Minimal Working Example | Normalizing Flow
DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
Material for the EPFL master course "A Network Tour of Data Science", edition 2016.
Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
Probabilistic Principal Component Analysis
Benchmark for LP-relaxed robustness verification of ReLU-networks
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases
Validation assets for core OpenMined libraries