Pinned Repositories
BCI_motion_simulation
Computer-Vision
This repository holds all the work done as part of the course CSE 527: Intro. to Computer Vision taken by Prof. Roy Shilkrot at Stony Brook University
Data-Science-Fundamentals
This Repository contains the coursework of CSE 519 : Data Science Fundamentals [Prof. Steven Skiena]
jay-z007.github.io
This is the repository my personal website -
mcdm
Natural-Language-Processing
This repository contains the course contents of CSE 538 - NLP [Prof. Niranjan Balasubramanian]
Network-Security
This Repository contains the coursework of CSE 508 : Network Security [Prof. Michalis Polychronakis]
neumann-optimizer
Text-to-Image-Synthesis
PyTorch Implementation of the paper - 'Generative Adversarial Text to Image Synthesis' from ICML 2016 https://arxiv.org/abs/1605.05396
visual-qa
jayybhatt's Repositories
jayybhatt/Text-to-Image-Synthesis
PyTorch Implementation of the paper - 'Generative Adversarial Text to Image Synthesis' from ICML 2016 https://arxiv.org/abs/1605.05396
jayybhatt/neumann-optimizer
jayybhatt/Data-Science-Fundamentals
This Repository contains the coursework of CSE 519 : Data Science Fundamentals [Prof. Steven Skiena]
jayybhatt/mcdm
jayybhatt/Network-Security
This Repository contains the coursework of CSE 508 : Network Security [Prof. Michalis Polychronakis]
jayybhatt/BCI_motion_simulation
jayybhatt/Computer-Vision
This repository holds all the work done as part of the course CSE 527: Intro. to Computer Vision taken by Prof. Roy Shilkrot at Stony Brook University
jayybhatt/jay-z007.github.io
This is the repository my personal website -
jayybhatt/Natural-Language-Processing
This repository contains the course contents of CSE 538 - NLP [Prof. Niranjan Balasubramanian]
jayybhatt/visual-qa
jayybhatt/Computational-Biology
This Repository contains the coursework of CSE 549 : Computational Biology [Prof. Rob Patro]
jayybhatt/cpython
The Python programming language
jayybhatt/CSE519-2017-111463646
This repository holds all the work done as a part of the course CSE 519: Data Science Fundamentals taken by Prof. Steven Skiena at Stony Brook University
jayybhatt/Deep-Learning
Repository for the Google Deep Learning Course on Udacity.
jayybhatt/dotfiles
jayybhatt/dxr
Powerful search for large codebases
jayybhatt/ExpenseTracker
jayybhatt/google-trace-analysis
jayybhatt/irc
tinkering with a made-from-scratch irc library in python
jayybhatt/LS-Bloom-Filter
Implementation of bloom filter for large scale data using MapReduce
jayybhatt/memray
Memray is a memory profiler for Python
jayybhatt/nn-zero-to-hero
Neural Networks: Zero to Hero
jayybhatt/OCR
A simple OCR to recognize Upper and Lower case English alphabets
jayybhatt/Phenotypic-Prediction
This was the capstone project for the course CSE549 Compuptational Biology by Prof. Rob Patro.
jayybhatt/pystack
🔍 🐍 Like pstack but for Python!
jayybhatt/RBTree
Implementation of Red-Black Tree in Python
jayybhatt/scikit-learn
scikit-learn: machine learning in Python
jayybhatt/Shakespeare-style-poem-Generator
jayybhatt/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
jayybhatt/Tensorflow-Project-Template
A best practice for tensorflow project template architecture.