ShikharJ
CS PhD at University of Toronto | Prev. at Microsoft Research | Interested in Machine Learning, Software Systems and Theory
University of TorontoToronto, Canada
ShikharJ's Stars
JuliaLang/julia
The Julia Programming Language
nlohmann/json
JSON for Modern C++
alex/what-happens-when
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
tmux/tmux
tmux source code
microsoft/MS-DOS
The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes
overleaf/overleaf
A web-based collaborative LaTeX editor
spotify/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
danluu/post-mortems
A collection of postmortems. Sorry for the delay in merging PRs!
google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
openimages/dataset
The Open Images dataset
IDSIA/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
goodfeli/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
soumith/convnet-benchmarks
Easy benchmarking of all publicly accessible implementations of convnets
awesome-mlss/awesome-mlss
🤖 Machine Learning Summer School deadlines
wesbos/dad-jokes
dad jokes
CppCon/CppCon2015
Presentation Materials from CppCon 2015
runvnc/dadsresume
My dad's resume and skills from 1980
LMescheder/GAN_stability
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
hanzhanggit/StackGAN-v2
mlpack/ensmallen
A header-only C++ library for numerical optimization --
BlueBrain/HighFive
HighFive - Header-only C++ HDF5 interface
ArthurZC23/Machine-Learning-A-Probabilistic-Perspective-Solutions
My solutions to Kevin Murphy Machine Learning Book
reproducibility-challenge/iclr_2019
ICLR Reproducibility Challenge 2019
mariogeiger/hessian
hessian in pytorch
mlpack/mlpack-bot
Helpful and friendly mlpack bot
mlpack/ensmallen_paper
Paper sources for the NIPS 2018 MLsys workshop paper on ensmallen
sebix/packaging-utils
A bunch of scripts I use for keeping track of packages I maintain