Abhinav Shaw's repositories
StudentLife-StressDetection-ML-Framework
Framework for stress detection from StudentLife DataSet
hyperparameter-tuning-NN
Hyperparameter tuning by Poisson Disc sampling.
SampleBounds
This is a repository for Sample Bounds project under professor Erik Learned Miller.
STRAIN-MachineLearning
Strain Machine Leaning Repository includes iPython notebooks for research and preliminary results. Will contain the code base for the final machine learning model as well.
StudentLife-ML-Analysis
Repository for Machine Learning analysis on studentLife data set.
coding-interview-university
A complete computer science study plan to become a software engineer.
DataProcessor
This repository is for various data processors.
abhinavshaw1993.github.io
My Personal Website
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
challenges
Programming challenges and competitions such as topcoder, codeforces, hackerrank
code-catalog-python
Algorithms and data structures for review for coding interview.
Data-Science-Analysis-and-Model
Analysis of Machine Learning and other statistical models.
db645-project
MiniProject
Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
hybrid-reverse-dictionary
A Hybrid way using relational database and NLP to implement a Reverse Dictionary
js_practice
This repository is repository for javascript practice.
keras
Practice Repository for Keras Models.
micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
NLP
Natural Language Processing practice repository.
poisson-disc
A python implementation of the poisson disc sampling method described here: http://www.cs.ubc.ca/~rbridson/docs/bridson-siggraph07-poissondisk.pdf
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]