Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
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Updated
Oct 5, 2022 - Python
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Baseline implementation of recurrent PPO using truncated BPTT
Modern version of setInterval for promises and async functions.
This repository is a summary of "AI for Medicine" lectured by Deeplearning.ai, Coursera. (https://www.coursera.org/specializations/ai-for-medicine)
Time Series Feature Extraction using Deep Learning
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RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)
📖These are the concept drift datasets we made, and we open-source the data and corresponding interfaces. Welcome to use them for free if there is a need.
A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles in CARLA to navigate scenarios with stationary obstacles.
Hands-on in-person workshop for Deep Learning with TensorFlow
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A very powerful CRM solution that gives a multitude of options to control scheduling jobs in CRM.
Some neural networks code and notes I've been doing for Andrew Ng's Deep Learning course.
Jobr is a simple, lightweight library that makes easy to create and manage recurrent jobs. Works in browser and node environment.
Schedule decorators for TypeScript
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