Resources
[Paper] [Code] [Slides] [Poster] [Talk]
Contact: Wuyang Chen ([email protected]) Zhiding Yu ([email protected])

Part one of a tutorial to teach you how to build a REST API around functions or saved models created in Tensorflow. With Tensorflow Serving and Docker, defining endpoint URLs and sending HTTP requests is simple.

A curated list of references for MLOps . Contribute to visenger/awesome-mlops development by creating an account on GitHub.

Researchers at DeepMind propose a new technique that automatically discovers a reinforcement learning algorithm from scratch.

Using generative modeling to capture real-world transformations from data for adversarial robustness

Leveraging the CPU for ML inference yields the widest reach across the space of edge devices. Consequently, improving neural network inference performance on CPUs has been among the top requests to the TensorFlow Lite team. We listened and are excited to…

TransCoder is the first self-supervised neural transcompiler system for migrating code between programming languages. It can translate code from Python to C++, for example, and it outperforms rule-based translation programs.

This article provides a glimpse into the available tools to work with CSV files and describes how kdb+ and its query language q raise CSV processing to a new level of performance and simplicity.

This repository contains implementations and illustrative code to accompany DeepMind publications - deepmind-research/rl_unplugged at master · deepmind/deepmind-research

PyTorch 1.6.0 Release Notes

Highlights
Backwards Incompatible Changes
Deprecations
New Features
Improvements
Bug Fixes
Performance
Documentation

Highlights
The PyTorch 1.6 release includes a numb...

The k-fold cross-validation procedure is a standard method for estimating the performance of a machine learning algorithm on a dataset. A common value for k is 10, although how do we know that this configuration is appropriate for our dataset and our algorithms?…

The magazine of the algorithm community