Integrated task and motion planning using grounded actions learned from observing expert demonstrations.
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Updated
Feb 25, 2017 - C++
Integrated task and motion planning using grounded actions learned from observing expert demonstrations.
Ruby library for solving optimisation problems with the Cross Entropy Method.
AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
Machine Learning ideas explained including Entropy, XEntropy
Accompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.
A jupyter notebook is provided for in-depth explanation.
Reinforcement learning in Julia. Solving OpenAI gym.
This repository is for managing all my assignment for Artificial Intelligence Course
Simple neural network classifier on the MNIST digit set
Investigating the Behaviour of Deep Neural Networks for Classification
Implementation of Reinforcement Algorithms from scratch
Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.
An implementation of an approximation of the solution to Traveling Salesman Problem using cross entropy approach on Python 3
Solving Tetris using Cross-Entropy Method
A pytorch implementation of Densenet for FashionMNIST dataset
Solving some gym env using policy based methods: hill climbing and Cross Entropy Method
Song lyrics generation using Recurrent Neural Networks (RNNs)
Notes on implementation part of Cross Entropy Loss
Traffic Sign Classifier (project 3 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
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