Vikram Pawar's repositories
mit-ocw-6.034-artificial-intelligence
Lab Assignments for MIT 6-034 ( Artificial Intelligence )
battleship
Implementations of different battleship AIs
pcam_challenge
Models related to the PatchCamelyon Challenge
backbonetutorials
As single page apps and large scale javascript applications become more prominent on the web, useful resources for those developers who are jumping the ship are crucial.
cubepi
Control a cube in your browser using a raspberry pi and an ultrasonic distance sensor
cdf-clinic-feedback-system
A feedback form for a clinic
cdf-feedback-system-amd
Starter for RequireJS and Backbone application, using Bower.
Coursera-Introduction-to-Recommender-Systems
Exercises from Introduction to Recommender Systems offered at Coursera.
crazyflie-clients-python
Host applications and library for Crazyflie written in Python.
crazyflie-firmware
The main firmware for the Crazyflie Nano Quadcopter.
cs231n
cs231n assignments
cuda-sample
CUDA official sample codes
document_similarity
different document similarity metrics
dotfiles
various config files for my linux desktop
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
language_models
Implementations of different language models
min-char-rnn
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
mit-open-courseware
Examples from MIT Open Courseware Materials
mr-data-converter
Takes CSV or tab-delimited data from Excel and converts it into several web-friendly formats, include JSON and XML.
NRE
Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT
statistical_stuff
boilerplate stuff for data visualization, statistics etc.
TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
tensorflow_basics
Some basic tensorflow code
virtual_touchscreen
Simple evdev linux device driver and GUI program to simulate multitouch touchscreen
word_embeddings
Implementation of different methods for generating word embeddings