akshayratnawat/ReachingTargetLocation_ReinforcementLearning_Webots

The objective is to teach robot to find and reach the target object in the minimum number of steps and using the shortest path and avoiding any obstacles such as humans, walls, etc usinf reinforcement learning algorithms.

Language: Python - Size: 4.11 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1

akshayratnawat/NaturalLanguageProcessingSpecialization

Language: Jupyter Notebook - Size: 680 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

akshayratnawat/Capstone

Language: Jupyter Notebook - Size: 15.1 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

akshayratnawat/voxceleb_trainer Fork of clovaai/voxceleb_trainer

In defence of metric learning for speaker recognition

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akshayratnawat/ai8x-training Fork of MaximIntegratedAI/ai8x-training

Model Training for Maxim AI Devices

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akshayratnawat/CommentToxicityPredictor_NLP

The model helps in predicting toxicity of Online comments, trained on Wikipedia comments data using Deep Neural Network (GRU+ GLoVe ))

Language: Jupyter Notebook - Size: 692 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

akshayratnawat/CNN_Image_Classifier

This project shows how we can create a CNN to build an Image Classifier.

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akshayratnawat/pytorch-learn-reinforcement-learning Fork of gordicaleksa/pytorch-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

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akshayratnawat/ePuck-Box-Pushing Fork of clamesc/ePuck-Box-Pushing

TUM_ARL_SS16: With its proximity sensors the ePuck robot can estimate the relative position of a small box and learn to push it in a given direction using Reinforcement Learning.

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akshayratnawat/Reinforcement-Learning-In-Motion Fork of philtabor/Reinforcement-Learning-In-Motion

Code repository for my course on the fundamentals of reinforcement learning

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akshayratnawat/awesome-webots Fork of lukicdarkoo/awesome-webots

Awesome Webots

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akshayratnawat/awesome-deep-rl Fork of kengz/awesome-deep-rl

A curated list of awesome Deep Reinforcement Learning resources.

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akshayratnawat/GradientDescent_Algorithms

This file explores the working of various Gradient Descent Algorithms to reach a solution. Algorithms used are: Batch Gradient Descent, Mini Batch Gradient Descent, and Stochastic Gradient Descent

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akshayratnawat/BoostingAlgorithms

This project explores the working of various Boosting algorithms and analyzes the results across different algorithms. Algorithms Used are: Random Forest, Ada Boost, Gradient Boost and XG Boost

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akshayratnawat/awesome-rl Fork of aikorea/awesome-rl

Reinforcement learning resources curated

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akshayratnawat/PCA_ChileTourismRegion_Analysis

USe PCA and other segmentation techniques to find the focus areas for the Chilean Government to increase tourism competitiveness based on different city characteristics data.

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

akshayratnawat/Battle-of-Neighbourhoods

Understand similarities and differences between two different boroughs in Toronto and New York respectively. And find the best neighborhoods for office location for Fortune 500 companies.

Language: Jupyter Notebook - Size: 6.83 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

akshayratnawat/ReinforcementLearning_MarkovProcess

This project involves analyzing and simulating a Markov Chain and estimating transition matrix for a Reinforcement Learning agent under different policies

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akshayratnawat/KMeans-and-Gaussian-Mixture-Classification

The project explores KMeans and Gaussian Mixture Algorithms to classify the Boston Housing Dataset into different groups based on different parameters.

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akshayratnawat/PCA_BostonHousingData

Using PCA to reduce the dimension of data and for factor Analysis on Boston Housing Data

Language: Jupyter Notebook - Size: 3.87 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

akshayratnawat/Latent_Class_Analysis

Latent Class Analysis on German Credit Data Set to find the latent variables affecting the credit outcomes and behaviour

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akshayratnawat/Real_Time_Intelligent_System_PeopleDetection_and_Counting

This project is on building a real-time intelligent system which involves building and deploying a model to provide real-time model decisions from the real-time data stream.

Language: Python - Size: 12.1 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

akshayratnawat/ChurnAnalysis

Language: Jupyter Notebook - Size: 184 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

akshayratnawat/BaggingAlgorithm_CentralLimitTheorem

This project explains why and how are the Bagged Models better than the Complete Model. Bagged Model parameters have tighter confidence interval and a lower bias.

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akshayratnawat/LeakGAN Fork of CR-Gjx/LeakGAN

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

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akshayratnawat/reinforcement_learning_project Fork of ianxxiao/reinforcement_learning_project

This repo is for a reinforcement learning project using citiBike data

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akshayratnawat/self-driving-truck Fork of aleju/self-driving-truck

Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning

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akshayratnawat/handson-ml Fork of ageron/handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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akshayratnawat/applied-ml Fork of eugeneyan/applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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akshayratnawat/tensorflow2-crash-course Fork of dipanjanS/tensorflow2-crash-course

A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API

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akshayratnawat/coppelia_robotics Fork of ldj789/coppelia_robotics

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akshayratnawat/ProgrammingForAnalytics Fork of falconair/ProgrammingForAnalytics

Course material for an intro to programming class for analytics students

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akshayratnawat/BaggingAlgorithm_Central-Limit-Theorem

This project explains why and how the Bagging algorithm is better. Bagged Models have tighter confidence intervals and are less biased in comparison to the full model

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akshayratnawat/LinearRegression

Application of simple and multiple linear regression. It also includes RFE and Gradient Descent Method for simple and multiple regression

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akshayratnawat/general_python_topics Fork of uchicago-msca-club/general_python_topics

Contains sample python codes for general topics.

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