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
This repository is a summary of "AI for Medicine" lectured by Deeplearning.ai, Coursera. (https://www.coursera.org/specializations/ai-for-medicine)
Baseline implementation of recurrent PPO using truncated BPTT
Modern version of setInterval for promises and async functions.
Hands-on in-person workshop for Deep Learning with TensorFlow
Time Series Feature Extraction using Deep Learning
pycaffe version of RSA 'Recurrent Scale Approximation for Object Detection in CNN'
📖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.
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)
Deep Learning (PyTorch) Models Deployment using SQL databases
Some neural networks code and notes I've been doing for Andrew Ng's Deep Learning course.
[Out of date] 🛒 Robokassa - PHP Class, also support recurrent payments for Robokassa
A very powerful CRM solution that gives a multitude of options to control scheduling jobs in CRM.
Jobr is a simple, lightweight library that makes easy to create and manage recurrent jobs. Works in browser and node environment.
Generation of music from a abc-notation inputs
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