sidak
PhD student at ETH Zürich and MPI-IS Tübingen. Previously @ IST Austria, EPFL, Facebook AI Research, IIT Roorkee.
ETH ZurichSwitzerland
Pinned Repositories
WoodFisher
Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)
context-mover-distance-and-barycenters
Code accompanying our paper at AISTATS 2020
Disease_Mention_Recognition
Recognize disease mentions from news headlines
double-descent
ICLR 2022: Phenomenology of Double Descent in Finite-width Neural Networks
hessian-rank
Analytic Insights into Structure and Rank of Neural Network Hessian Maps, NeurIPS 2021.
huber_loss
Robust regression with huber loss
InterviewBit-Solutions
Solutions for problems solved on Interview Bit
otfusion
Model Fusion via Optimal Transport, NeurIPS 2020
RaaS
REST API for Feedback Aggregation in Service Ecosystem
Toy-PyTorch
Neural Network library from scratch, inspired by PyTorch
sidak's Repositories
sidak/otfusion
Model Fusion via Optimal Transport, NeurIPS 2020
sidak/context-mover-distance-and-barycenters
Code accompanying our paper at AISTATS 2020
sidak/huber_loss
Robust regression with huber loss
sidak/RaaS
REST API for Feedback Aggregation in Service Ecosystem
sidak/Toy-PyTorch
Neural Network library from scratch, inspired by PyTorch
sidak/Disease_Mention_Recognition
Recognize disease mentions from news headlines
sidak/ML-Course-Notes
Lecture Notes for the variety of Machine Learning and Deep Learning online courses
sidak/SentEval
A python tool for evaluating the quality of sentence embeddings.
sidak/Yes-Mam
Comprehensive Attendance Tracker Android App
sidak/Amazon-Review-Scraper
Web Scraper Tool for Amazon Reviews
sidak/beautiful-jekyll
Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
sidak/Codeforces-Solutions
sidak/double-descent
ICLR 2022: Phenomenology of Double Descent in Finite-width Neural Networks
sidak/epfl_deep_learning
EPFL DL course
sidak/GAN-Chainer
Generative Adversarial Networks implementation in Chainer
sidak/hessian_perspective_cnns
ICML 2023: The Hessian perspective into the Nature of Convolutional Neural Networks
sidak/homepage
Personal Website - Built with Hugo
sidak/Research-Paper-Notes
My notes on papers primarily in Deep Learning and Machine Learning
sidak/hessian-rank
Analytic Insights into Structure and Rank of Neural Network Hessian Maps, NeurIPS 2021.
sidak/Apac-Solutions
sidak/Awesome-Deep-Neural-Network-Compression
Summary, Code for Deep Neural Network Quantization
sidak/drjasleen.github.io
Personal Website
sidak/metric-learn
Metric learning algorithms in Python
sidak/Miscellaneous-Programming-Contest-Solutions
sidak/mlpack
mlpack: a scalable C++ machine learning library --
sidak/tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
sidak/vigyan
sidak/WoodFisher
Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)
sidak/Xhare-Workspace
Multimodal Trip Planning with Dynamic Ridesharing
sidak/YouTubePlaylistSync
Synchronizes YouTube playlist with local folder on your computer