Repo for the Deep Reinforcement Learning Nanodegree program

Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)

Easy to use class balanced cross entropy and focal loss implementation for Pytorch

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

Low dependency（C++11 STL only）, good portability, header-only, deep neural networks for embedded

Reinforcement learning in Julia. Solving OpenAI gym.

A python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.

Accompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.

Cross-Entropy Clustering R Package

Implementation of Reinforcement Algorithms from scratch

Numerically Stable Cross Entropy Loss Function Implemented with Python and Tensorflow

compare the performance of cross entropy, focal loss, and dice loss in solving the problem of data imbalance

A jupyter notebook is provided for in-depth explanation.

Integrated task and motion planning using grounded actions learned from observing expert demonstrations.

Song lyrics generation using Recurrent Neural Networks (RNNs)

Examples and tutorials that implement various algorithms in Deep Reinforcement Learning.

An implementation of an approximation of the solution to Traveling Salesman Problem using cross entropy approach on Python 3

Test project for neural networks - Handwritten digit recognition on MNIST dataset

Solving Tetris using Cross-Entropy Method

We apply the noisy cross-entropy method to the game of Tetris to demonstrate its efficiency.