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Google Research
This repository contains implementations and illustrative code to accompany DeepMind publications
Python code for "Probabilistic Machine learning" book by Kevin Murphy
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Person Re-ranking (CVPR 2017)
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
A library for ML benchmarking. It's powerful.
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples
Release of CIFAR-10.1, a new test set for CIFAR-10.
Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"