deltonmyalil

AlgoLab

Programs done in algo lab

AOSLab

Programs done in AOS Lab

ArraysListsProblems

Basic Problem Solving using arrays

BidirectionalLSTM_TwitterNamedEntityRecognition

Make LSTMs Great Again: In this age of transformers, lets go back to Bidirectional LSTM to do a very basic Sequence Tagging Task in NLP: Named Entity Recognition (NER) on Twitter data.

CryptocurrencyAnalytics

Cryptocurrency data analysis and prediction for short term investment. Data Science Project for MTech Artificial Intelligence course at University of Hyderabad.

Pole-Balancing-Agent-Reinforcement-Learning

Teaching an agent to balance a pole on a cart using Policy Gradient Reinforcement Learning with Tensorflow and OpenAI-gym

Pytorch_learning

I am bored with tensorflow. So, it was either this, or cleaning my room to pass time in lockdown. Not proud of it. Move along. Stay home, stay safe.

Secure_and_Private_AI_Federated_Learning

Federated Learning is a privacy preserving and secure way of collaborative and distributed learning. Here, model training can be done by the contribution of data from multiple parties without actually sharing the data with each other. This is an interdisciplinary field which loans theory from cryptography and statistics to facilitate private artificial intelligence. This repo will contain my walkthrough of the Andrew Trask course of Secure and Private AI

TelecomChurnPrediction

Business Data Analytics, MTech Artificial Intelligence Project done by Delton Myalil and Garima Jain. This is a Machine Learning, binary classification problem complete with both predictive and descriptive analytics of the data.

TransferLearning-and-FineTuning-MobileNetV2-for-CatsAndDogs

Using the tf.keras.applications to load an Imagenet trained 155 layer MobileNetV2 and then training the Cats and Dogs dataset via Transfer Learning. Further accuracy is improved using Fine Tuning the last 50 layers.

deltonmyalil/Secure_and_Private_AI_Federated_Learning

Federated Learning is a privacy preserving and secure way of collaborative and distributed learning. Here, model training can be done by the contribution of data from multiple parties without actually sharing the data with each other. This is an interdisciplinary field which loans theory from cryptography and statistics to facilitate private artificial intelligence. This repo will contain my walkthrough of the Andrew Trask course of Secure and Private AI

deltonmyalil/TransferLearning-and-FineTuning-MobileNetV2-for-CatsAndDogs

Using the tf.keras.applications to load an Imagenet trained 155 layer MobileNetV2 and then training the Cats and Dogs dataset via Transfer Learning. Further accuracy is improved using Fine Tuning the last 50 layers.

deltonmyalil/CryptocurrencyAnalytics

Cryptocurrency data analysis and prediction for short term investment. Data Science Project for MTech Artificial Intelligence course at University of Hyderabad.

deltonmyalil/BidirectionalLSTM_TwitterNamedEntityRecognition

Make LSTMs Great Again: In this age of transformers, lets go back to Bidirectional LSTM to do a very basic Sequence Tagging Task in NLP: Named Entity Recognition (NER) on Twitter data.

deltonmyalil/Pytorch_learning

I am bored with tensorflow. So, it was either this, or cleaning my room to pass time in lockdown. Not proud of it. Move along. Stay home, stay safe.

deltonmyalil/TelecomChurnPrediction

Business Data Analytics, MTech Artificial Intelligence Project done by Delton Myalil and Garima Jain. This is a Machine Learning, binary classification problem complete with both predictive and descriptive analytics of the data.

deltonmyalil/AlgoLab

Programs done in algo lab

deltonmyalil/AOSLab

Programs done in AOS Lab

deltonmyalil/Pole-Balancing-Agent-Reinforcement-Learning

Teaching an agent to balance a pole on a cart using Policy Gradient Reinforcement Learning with Tensorflow and OpenAI-gym

deltonmyalil/ConvolutionalNeuralNetsWithTensorFlow

Notebook files that shows my notes and code for CNN using TF

deltonmyalil/DeepLearningBabySteps

Learning Deep Learning from scratch. Implementing GradDesc, NN, Softmax, etc. PDF of notes will be added later.

deltonmyalil/DSPLab

Programs done in DSPLAB

deltonmyalil/ERNIE

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

deltonmyalil/FederatedPretraining

Template for coding for LLM use-case. Follow this file structure.

deltonmyalil/HeartDiseasePrediction

Doing EDA and classification of Heart disease. Employs Statistical as well as Neural Network methods in prediction.

deltonmyalil/IIIT_Hyderabad_DataScience_Workshop

IEEE workshop on Data Science on excel, SQL and R

deltonmyalil/MachineLearningAndDS

Learning from Kirill Eremenko's course on Machine Learning and Data Science Hands-On.

deltonmyalil/machineLearningTensorFlow

Initial Trial

deltonmyalil/ML_Lab_Project

final-commit_I-Hope

deltonmyalil/MonteCarloSimulation

A simple numpy implemented Monte Carlo Simulation. To generate simulation pandas DataFrame.

deltonmyalil/NaturalLanguageProcessingTrials

Systematic Numbered files to learn concepts in NLP. Following the coursera course of Natural Language Processing

deltonmyalil/NLP_Classification_Fake_Articles

Experimentation with NLP

deltonmyalil/RecurrentNeuralNetworksWithTensorflow

Exploring RNN with Tensorflow - both implementing manually and using the TF APIs. Finally. Included LSTM and GRU.

deltonmyalil/Reinf_Learning_Trading_Bot_training

deltonmyalil/ReinfLearningSEproject

Reinforcement Learning project for finding the best ad with the maximum click through rate with Thompson Sampling and Upper Confidence Bound. Project for Software Engineering course at University of Hyderabad, Mtech Artificial Intelligence.

deltonmyalil/StackOverFlowTagsPrediction

Given a stackoverflow post, predict its tags. Project in Natural Language Processing and Multilabel Classification.

deltonmyalil/StructuralSimilarityInImages

Shows how structural similarity metric is a better metric for checking the similarities between two images

deltonmyalil/TensorFlowTrialsBeforeTheBigOne

Getting familiar with tensorflow and making a NN that mimics its APIs as TF. This is the last (hopefully) trial with tensorflow before the actual project starts.

deltonmyalil/TFAPItrials

Trial on Keras and Estimator

deltonmyalil/Word2VecTensorflow

Implementing Word2Vec in Tensorflow (NOTE: better to go with gensim in project)