Machine Learning

My Projects, Kaggle Competitions and implementation of some popularly known machine learning algorithms.

I have also included a list of research papers I have curated in the feild of ML/DL/AI.

Index:

Projects
Research Papers (Anubhav Reads)
Kaggle Competitions
Algorithms

Content:

Projects

Following are the projects I've done in the Machine Learning field:

Name	Description
Reinforcement Learning Algorithms	Implementation of different Reinforcement Learning Algorithms such as DQN, Double-DQN, Dueling-DQN, Monte Carlo, Temporal Difference, etc.
RL-DQN-Navigation	Deep-Q Learning agent that is able to maximize the reward in the Unity ML-Agents based Banana Collector environment
RL-DDPG-Continuous_Control	Deep Deterministic Policy Gradient Learning agent that is able to maximize the reward in the Unity ML-Agents based Reacher continuous environment
RL-Multi_Agent_DDPG-Collaboration	Multi Agent Deep Deterministic Policy Gradient Learning agent that is able to maximize the reward in the Unity ML-Agents based Tennis continuous environment
Image Captioning	Used Encoder(CNN)-Decoder(RNN) along with Attention and Beam Search heuristic to generate caption for a given image
GANs Generate Faces	Used Generative Adversarial Networks (GANs) to generate new images of human faces
SageMaker Pytorch Model Deployment	Deployed a Pytorch model which predicts the sentiment of a review using Amazon's SageMaker
RNN Generate TV Scripts	An LSTM implementation in PyTorch that generates a new, "fake" TV script using Seinfeld dataset of scripts from 9 seasons
SML Malaria Detection	Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests for classification of Malaria Cells
Quick Draw	Implementation of Google Quick Draw doodle recognition game in PyTorch and other classifiers
CNN Dog Breed Classifier	CNN implementation in PyTorch to identify dog's breed from given image. If supplied an image of a human face, the code will identify the resembling dog breed
Neural Networks Bike Sharing Prediction	Neural Network implemented from scratch in numpy to predict bike rentals daily on an hourly basis
Face Recognition	Project to recognise people from an Image or video similar to facebook
Simulated Self Driving Car	Training an CNN model to drive a car in simulation
Chess AI	Chess AI which uses Alpha-Beta Pruning to select best moves.
Amazon Alexa Skills	Amazon Alexa Skills made using Alexa Skills Kit and AWS Lambda function

There are a few other projects I've done but currently not on Github:

Name	Description
Game Bot using Reinforcement Learning	Game bot trained using Deep Q Networks and Q-learning to play games such as PACMAN, Frozen-lake, etc.
Course Recommendation System	Appriori Algorithm based recommendation system to suggest courses based on past student's data at IIIT Delhi

Research Papers (Anubhav Reads)

A list of research papers in the domain of machine learning, deep learning and related fields. The list of papers can be viewed based on differentiating criteria's such as (Conference venue, Year Published, Topic Covered, Authors, etc.).

You can find the curated list of research papers in this repository.

Kaggle Competitions

Algorithm/Topic	Description
Dogs-vs-Cats-Redux-Kernels	Dogs vs Cats Classification using transfer learning `Resnet34` (CNN) in PyTorch
Dog-Breed-Identification	Dog Breed Identification using transfer learning `Resnet101_64` (CNN) in PyTorch

Algorithms

Algorithm/Topic	Description
Clustering Algorithms	Unsupervised algorithms such as K-Means and Mean-Shift
Deep Learning	Deep Neural Networks and Recurrent Neural Networks
K Nearest Neighbours
Linear Regression
Support Vector Machine