Repo for the Deep Reinforcement Learning Nanodegree program
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Updated
Nov 16, 2023 - Jupyter Notebook
Repo for the Deep Reinforcement Learning Nanodegree program
Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.
Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
A python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.
Low dependency(C++11 STL only), good portability, header-only, deep neural networks for embedded
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
compare the performance of cross entropy, focal loss, and dice loss in solving the problem of data imbalance
Reinforcement learning in Julia. Solving OpenAI gym.
Accompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.
We apply the noisy cross-entropy method to the game of Tetris to demonstrate its efficiency.
Implementation of Reinforcement Algorithms from scratch
A jupyter notebook is provided for in-depth explanation.
Bigram and Trigram Language Models. This repository provides my solution for the 1st Assignment for the course of Text Analytics for the MSc in Data Science at Athens University of Economics and Business.
Numerically Stable Cross Entropy Loss Function Implemented with Python and Tensorflow
NLP implementations like information-theoretic measures of distributional similarity, text preprocessing using shell commands, Naive Bayes text categorization model, Cocke-Younger-Kasami parsing.
Test project for neural networks - Handwritten digit recognition on MNIST dataset
Maths behind machine learning and some implementations from scratch.
The Project IsoCrypto was inspired by statistical tools applied in the data mining of astrophysics data. The main references were theoretical curves adjusted in open clusters – these curves are called isochrones. Therefore, this project aims to amplify the applications of those curves in econophysics.
Ruby library for solving optimisation problems with the Cross Entropy Method.
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