Pinned Repositories
AdityaGirishPawate
AdityaGirishPawate.github.io
This is the personal website
AdityaGirishPawate_website
CAPM-Model-Demo
CAPM Model demo using Python
CodeChef
This contains all the programs that I have solved in code chef
Codeforces
the solutions of
computer-graphics-using-python
This repo contains detailed code for creating and printing 3D objects such as Sphere, Torus, Circle, Cylinder, Cone and Plane using various camera angles.<br> Just run the main.py file to get the output as an image.<br>
Data-Structures-and-Algorithms-
This contains all the implementations of data structures and algorithms for IIT kgp course of Data Structures and Algorithms
Sentiment-Classification
This is a repository for the sentiment classification task of Twitter dataset which is got from kaggle competition of Real or Not. In this project we need to classify the tweets as whether they repersent some kind of danger or not.
Time-series-classification-using-1-D-CNNs
This project is on how to Develop 1D Convolutional Neural Network Models for Human Activity Recognition Below is an example video of a subject performing the activities while their movement data is being recorded. The six activities performed were as follows: Walking Walking Upstairs Walking Downstairs Sitting Standing Laying The movement data recorded was the x, y, and z accelerometer data (linear acceleration) and gyroscopic data (angular velocity) from the smart phone, specifically a Samsung Galaxy S II. Observations were recorded at 50 Hz (i.e. 50 data points per second). Each subject performed the sequence of activities twice, once with the device on their left-hand-side and once with the device on their right-hand side. Pre-processing accelerometer and gyroscope using noise filters. Splitting data into fixed windows of 2.56 seconds (128 data points) with 50% overlap. Splitting of accelerometer data into gravitational (total) and body motion components.
AdityaGirishPawate's Repositories
AdityaGirishPawate/Time-series-classification-using-1-D-CNNs
This project is on how to Develop 1D Convolutional Neural Network Models for Human Activity Recognition Below is an example video of a subject performing the activities while their movement data is being recorded. The six activities performed were as follows: Walking Walking Upstairs Walking Downstairs Sitting Standing Laying The movement data recorded was the x, y, and z accelerometer data (linear acceleration) and gyroscopic data (angular velocity) from the smart phone, specifically a Samsung Galaxy S II. Observations were recorded at 50 Hz (i.e. 50 data points per second). Each subject performed the sequence of activities twice, once with the device on their left-hand-side and once with the device on their right-hand side. Pre-processing accelerometer and gyroscope using noise filters. Splitting data into fixed windows of 2.56 seconds (128 data points) with 50% overlap. Splitting of accelerometer data into gravitational (total) and body motion components.
AdityaGirishPawate/CodeChef
This contains all the programs that I have solved in code chef
AdityaGirishPawate/Data-Structures-and-Algorithms-
This contains all the implementations of data structures and algorithms for IIT kgp course of Data Structures and Algorithms
AdityaGirishPawate/Sentiment-Classification
This is a repository for the sentiment classification task of Twitter dataset which is got from kaggle competition of Real or Not. In this project we need to classify the tweets as whether they repersent some kind of danger or not.
AdityaGirishPawate/AdityaGirishPawate
AdityaGirishPawate/AdityaGirishPawate.github.io
This is the personal website
AdityaGirishPawate/AdityaGirishPawate_website
AdityaGirishPawate/CAPM-Model-Demo
CAPM Model demo using Python
AdityaGirishPawate/Codeforces
the solutions of
AdityaGirishPawate/computer-graphics-using-python
This repo contains detailed code for creating and printing 3D objects such as Sphere, Torus, Circle, Cylinder, Cone and Plane using various camera angles.<br> Just run the main.py file to get the output as an image.<br>
AdityaGirishPawate/CP-Algorithms
Contains major code part of this: https://cp-algorithms.com/
AdityaGirishPawate/CS224n
This contains all the required Lecture Notes as well as Assignments of Stanford course CS224n on Natural Language Processing
AdityaGirishPawate/Deep-Learning-With-Pytorch
This contains all the assignments to deep learning with pytorch from ibm on coursera
AdityaGirishPawate/deforum-stable-diffusion
Deforum Stable Diffusion
AdityaGirishPawate/Finance
This contains useful documents related to finance
AdityaGirishPawate/IIT-KGP-Resources
This contains all the resouces for all years of IIT KGP in Mathematics and Computing.
AdityaGirishPawate/Image-Classification-
This repository contains Image classification models for various datasets
AdityaGirishPawate/Machine-Learning-With-Python-IBM-course
Contains all Solved assignments of IBM course of Machine Learning with Python
AdityaGirishPawate/natural_language_processing
This contains some of the problems from kaggle.
AdityaGirishPawate/Optimization-Algorithms
This contains the python code for Optimization Methods
AdityaGirishPawate/ParticleNet
Implementation of the jet classification network in ParticleNet: Jet Tagging via Particle Clouds
AdityaGirishPawate/Polygon_triangulation
I have implemented Polygon triangulation code in Order n^2 using ear clipping algorithm and Order n*logn using seidal algorithm in c++ language.
AdityaGirishPawate/Question-answering-with-BERT
This is a simple repository which uses BERT language model in order to do question answering on a paragraph
AdityaGirishPawate/RL4LMs_AGP
A modular RL library to fine-tune language models to human preferences
AdityaGirishPawate/ScientificSummarizationDataSets
Datasets I have created for scientific summarization, and a trained BertSum model
AdityaGirishPawate/Test
AdityaGirishPawate/TextGraphs-2020
Shared Task for the COLING 2020 conference
AdityaGirishPawate/tic_tac_toe_winning_strategy
This program is my implementation of tic-tac-toe game in which the computer never looses. I have developed my own strategy and come up with this implementation.
AdityaGirishPawate/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
AdityaGirishPawate/web-proxy-using-socket-programming
This repo tells contains the code to run the proxy server for your web browser using python. Just run the run.py on the terminal with appripriate IP address and the proxy server will get activated. Then go to your browser and set up manual proxy with the localhost and port number 8888. Then you will connected to the internet through the proxy server.