saiprasath21 Goto Github PK

adversarial-ml-for-ids

An elaborate study to determine the effects of Adversarial ML in ML/DL based Intrusion Detection Systems used in Power Plants.

avinash2468.github.io

bertg

Graph Augmented Transformer for Text Classification

ccpe-covid19

Compositional Epidemiology of COVID-19

coding-interview-university

A complete computer science study plan to become a software engineer.

computer-vision-101

Implemented various CNN models: AlexNet, LeNet, and VGG16 to perform image classification on the CalTech 101 dataset.

covariate-shift-and-continual-learning

Investigate the problem of covariate shift in real-world datasets and propose continual learning based solutions.

covid19-epidemiological-modeling

Generate optimal policies to control the spread of the virus by performing multi-model simulations using hybrid timed automata.

deep-reinforcement-learning-with-python

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

dlt-hallucination-measurement

Evaluating hallucinations in domain adapted LLMs

dqfd

An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Learning

federated-learning

Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralised data. The repository tutorial for using PySyft for distributed training of Machine Learning model.

federated-learning-ids

Study the effectiveness of federated learning models to serve as IDS, and their robustness to adversaries.

gan-based-state-predictor

Predict and and analyse the state of a power plant, and mitigate the effects in case of any emergency

lstm-gru-time-series

Developing LSTM/GRU for predicting Google Stock prices.

machine_learning_examples

A collection of machine learning examples and tutorials.

mad-gans

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

minimum-vertex-cover

Analysed various algorithms including greedy, branch and bound, local search - hill climbing, and local search - simulated annealing for solving the minimum vertex cover (MVC) problem.

ml-classification

Understanding various ML classification models.

ml-regression

Understanding various ML regression models.

mnist-cnn

A CNN based model for classifying digits in the MNIST dataset.

modular-code-generation

Modular Code Generation from Hybrid Automata

move47.github.io

Personal Website - A store house of all acvities

multi-variate-time-series-analysis

Developed a dual attention based GRU model for pre-emptively detecting anomalies in a power plant control system.

multimodal-robustness

Code and resources for EMNLP 2022 paper on 'Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions'

reinforcement-learning-dqfd

Analysing the optimal strategy for using expert demonstrations during online RL after bootstrapping.

safety-awareness-in-llms

Assessing Safety Awareness in LLMs

saiprasath21

saiprasath21.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

transrecg

Graph Augmented Transformer Model for Sequential Movie Recommendation