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 the the paper "Metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)

Reinforcement learning in Julia. Solving OpenAI gym.

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

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.

Numerically Stable Cross Entropy Loss Function Implemented with Python and Tensorflow

Implementation of Reinforcement Algorithms from scratch

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

A jupyter notebook is provided for in-depth explanation.

Ruby library for solving optimisation problems with the Cross Entropy Method.

Solving Tetris using Cross-Entropy Method

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

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

Implementation of multiple machine learning classifiers and regularization techniques on the notMNIST dataset.

Maths behind machine learning and some implementations from scratch.

Song lyrics generation using Recurrent Neural Networks (RNNs)

Simple neural network classifier on the MNIST digit set

Python-based repository on the utility of cross-entropy as a cost function in soft/fuzzy classification tasks in iterative machine-learning algorithms.

Build Bi-Gram Text Representation model for Bayes-Markov Inference based on Brown corpus sentences

Machine Learning ideas explained including Entropy, XEntropy

A Repository for handling different complex machine learning algorithms like boosting etc. This repository contains/will contain all the important algorithms implemented on real data. The helper functions defined will prevent from writing complex codes and will help us realize our goal faster.

Traffic Sign Classifier (project 3 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

AIND Jupyter Notebook to predict student admissions using Keras Neural Networks

This repository is for managing all my assignment for Artificial Intelligence Course

Investigating the Behaviour of Deep Neural Networks for Classification

step by step tutorial for ANN