Pinned Repositories
10703assignment1
Assignment 1 for 10-703 Deep Reinforcement Learning and Control - CMU
aiclass
AI class
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
blog
dbclass
dbclass homework
dspblock
Scilab GSOC Project: DSP Blockset for Xcos
maxgap_bandit
mlclass
mlclass homework
NEXT
rank1bandits
Algorithms for Stochastic Rank-1 Bandits
sumeetsk's Repositories
sumeetsk/rank1bandits
Algorithms for Stochastic Rank-1 Bandits
sumeetsk/maxgap_bandit
sumeetsk/NEXT
sumeetsk/10703assignment1
Assignment 1 for 10-703 Deep Reinforcement Learning and Control - CMU
sumeetsk/arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
sumeetsk/blog
sumeetsk/clickmodels
ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)
sumeetsk/coarse_ranking
sumeetsk/courses
fast.ai Courses
sumeetsk/cs231n.github.io
Public facing notes page
sumeetsk/docker-for-data-science-tutorial
Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
sumeetsk/fastai
The fast.ai deep learning library, lessons, and tutorials
sumeetsk/fastai-course-1
Dockerfile for fast.ai Deep Learning Course at http://course.fast.ai
sumeetsk/fastai_docs
dev notebooks (for docs see http://docs.fast.ai and https://github.com/fastai/fastai)
sumeetsk/gym
A toolkit for developing and comparing reinforcement learning algorithms.
sumeetsk/homework_fall2019
sumeetsk/JavaScript30
30 Day Vanilla JS Challenge
sumeetsk/jupyter-vim-binding
Jupyter meets Vim. Vimmer will fall in love.
sumeetsk/minitorch.github.io
Docs
sumeetsk/Module-0
Module 0 - Fundamentals
sumeetsk/NEXT-1
NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-world. Ask better questions. Get better results. Faster. Automated.
sumeetsk/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
sumeetsk/numerical-linear-algebra
This course contains the notebooks for the Numerical Linear Algebra elective in USF's MSAN program, summer 2017
sumeetsk/Practical_RL
A course in reinforcement learning in the wild
sumeetsk/pytorch-Deep-Learning
Deep Learning (with PyTorch)
sumeetsk/PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
sumeetsk/sci-k.github.io
sumeetsk/templates
sumeetsk/topcoder
sumeetsk/xdrive