Top Artificial Intelligence Books to Read in 2020
Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig:
A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory...
ABBYY Open-Sources NeoML, A Machine Learning Framework For Both Deep Learning And Traditional Algorithms
ABBYY recently announced the launch of NeoML, an open-source library for building, training, and deploying machine learning models. NeoML is a cross-platform framework...
Neuropod: Uber ATG’s Open Source Deep Learning Inference Engine
Uber Advanced Technologies Group (ATG) recently open-sourced Neuropod, a framework that provides a uniform interface to run deep learning models from multiple...
Hummingbird: A library for compiling trained traditional machine learning models into tensor computations
This is really a cool work out of Microsoft research called hummingbird. You can convert traditional machine learning models to tensor computations...
Google AI Team Open Sources BiT – Big Transfer: General Visual Representation Learning (Computer...
Google AI team recently open-source BiT (Big Transfer) for general visual representation learning. Current computer vision training generally involves a pre-trained model...
BindsNET: An Open-Source Library Used For Simulating Spiking Neural Networks (SNNs) On CPUs Or...
If you are a computer scientist specialized in bioinformatics and computational biology and looking for a Python framework for simulating spiking neural...
Horovod: Uber’s Open Source Distributed Deep Learning Framework
'Horovod' is an open-source distributed deep learning framework created by Uber's AI team. This framework is used for applications in TensorFlow, Keras,...
MindSpore: An Open-Source Deep Learning Training Framework For Mobile, Edge And Cloud Scenarios
Huawei Technologies Co. Ltd. recently open-sourced 'Mindspore', a framework for artificial intelligence-based application development. This lightweight framework is ready to give competition...
AutoViz: A New Tool For Automated Visualization in Data Science
If you are looking for a tool that can perform automated visualization, AutoViz could be good one to try. It performs automatic...
UC Berkeley Researchers Open-Source ‘RAD’ To Improve Any Reinforcement Learning Algorithm
In Reinforcement Learning (RL), it has always been challenging to learn from visual observations, which is a fundamental yet challenging problem. Despite...