The open source version of the Amazon SageMaker docs

Using optical flow & machine learning to predict PV yield

Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET develo…

homepage

Infer.NET is a framework for running Bayesian inference in graphical models

Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds

Lightweight Open Source Experiment Tracking

A carefully crafted Org exporter back-end for Hugo

Gaussian processes in TensorFlow

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

Experiments with Deep Learning

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.

Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)

A faster pytorch implementation of faster r-cnn

Chat anaylzer for the telegram-client.

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology