Hands-on to ReAgent: End-to-End Platform for Applied Reinforcement Learning

Facebook ReAgent, previously known as Horizon is an end-to-end platform for using applied Reinforcement Learning in order to solve industrial problems. The main purpose of this framework is to make the development & experimentation of deep reinforcement algorithms fast. ReAgent is built on Python. It uses PyTorch framework for data modelling and training and TorchScript for serving.

Read More

Complete Guide to AutoGL -The latest AutoML Framework for graph datasets

Photographer keys hanging

Creating algorithms is difficult and time-consuming. This specific problem has inspired researchers to develop some productivity tools to help young members in this domain. This has given birth to a revolutionary field in Data Science called Auto Machine Learning(AutoML). AutoML provides methods and processes to make Machine Learning available to non-Machine Learning experts, to improve efficiency of Machine Learning and speed up the research.

Read More