Master programming by recreating your favorite technologies from scratch.

📃 A list of practical projects that anyone can solve in any programming language.

Repo for Udacity's Secure & Private AI course

SOON TO BE DEPRECATED - Private machine learning progress

A repository for public Machine Learning notebooks I have created

Pruning Deep Learning using MAB

This repository contains source code of the ICML 2020 paper:(Learning to Learn Kernels with Variational Random Features)

Source code for "Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN"

Binary classification algorithm under fairness considerations.

Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.

Code from paper "On Relativistic f-divergences" (https://arxiv.org/abs/1901.02474)

Implementations of several fast approximate algorithms for geometric optimal transport (OT)

Expanding Explainable K-Means Clustering

Smoothing with generalized Gaussian distributions

Implementation of Minimax Pareto Fairness framework

[NeurIPS 2019] Deep Set Prediction Networks

Generative Models for Graph-Based Protein Design

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

😝 TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

Contains material for the PennyLane tutorial at CERN on 3/4 February 2021.

Program to calculate quantum geometry properties of parametrized quantum circuits. Determines number of redundant parameters, effective quantum dimension and quantum natural gradient.

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