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Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Modern version of setInterval for promises and async functions.
Baseline implementation of recurrent PPO using truncated BPTT
This repository is a summary of "AI for Medicine" lectured by Deeplearning.ai, Coursera. (https://www.coursera.org/specializations/ai-for-medicine)
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.
Hands-on in-person workshop for Deep Learning with TensorFlow
As shown in this video https://youtu.be/0eTYs4n1LKg
Transactions on Multimedia (TMM2018) source code
Deep Learning (PyTorch) Models Deployment using SQL databases
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.
Schedule decorators for TypeScript
🤖 Random machine learning projects (mainly used to teach myself new things)
Lightweight, zero dependency, machine learning library.
Simple library for avoiding stack overflow on heavy recursive functions.
Quantum Classical Recurrent for Music Generation
[Out of date] 🛒 Robokassa - PHP Class, also support recurrent payments for Robokassa
video denosing with pytorch code
This repository provides the code of a binary classifier that is well documented, tested and was part of the Kaggle: American Express - Default Prediction challenge.
M.Sc. in Mathematics - National University of Engineering (Peru)
Generation of music from a abc-notation inputs
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Schedulability analysis based on recurrent neural networks (RNNs).
Request recurrence simulator with Postman collections using NodeJS. 🚀🤩