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devTEC's Projects

sac_vsl icon sac_vsl

A variable speed limit control algorithm designed with the Soft Actor-Critic reinforcement learning.

safe_rl icon safe_rl

Implementations of SAILR, PDO, and CSC

sankore-3.1 icon sankore-3.1

An open source interactive whiteboard. Official bugs tracker: http://bugs.open-sankore.org

schrl icon schrl

Constrained Hierarchical Deep Reinforcement Learning with Differentiable Formal Specifications

seac icon seac

The official code base of Shared Experience Actor-Critic (NeurIPS2020)

searchalgorithms icon searchalgorithms

some algorithms I implemented while studying search agents to introduction to artificial intelegence class

sefa-lang icon sefa-lang

صفة هى لغة برمجة عربية بديلة للغة XHTML مبنية على لغة XML و يتم ترجمتها عن طريق XSL و مدعومة من قبل جميع المتصفحات على جميع المنصات

sema-lang icon sema-lang

لغة برمجة عربية بديلة للغة CSS لتنسيق صفحات الإنترنت

sketch.js icon sketch.js

Cross-Platform JavaScript Creative Coding Framework

slides icon slides

A slide presentation framework in HTML, JS, and OOCSS

slides-1 icon slides-1

All the slides of my talks since 2016! Written in LaTeX or Markdown, compiled to pretty PDF with pandoc :sparkles:, and experiments with Marp, reveal.js, remark.js etc. PDF on https://speakerdeck.com/naereen/ or on

slidify icon slidify

Generate reproducible html5 slides from R markdown

smltar icon smltar

Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge

smooth-topk icon smooth-topk

Smooth Loss Functions for Deep Top-k Classification

som icon som

In this project I write SOM(Self-Organazing-Map) Algorithm for Character recognition(There was 7 character and for each one 3 different example in train data). this Algorithm is competitive Algorithm, for example in this problem we define 7 random point (same dimension with characters) and in each iteration we find the nearest character to this random point and update the value of this random point with this approach: it was added by the nearest neuron (which is multiplied with Learning Rate). Diamond and linear Model difference is in the way of updating in this two model we update the nearest random point too (nearest in linear shape or Diamond shape)

som-vae icon som-vae

TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199

sr-drl icon sr-drl

Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks

statswithrlabs icon statswithrlabs

Modified labs from the coursera specialization Statistics with R

stock-prediction-models icon stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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