nd1511's Stars
gouthampradhan/leetcode
Leetcode solutions
jwasham/code-catalog-python
Algorithms and data structures for review for coding interview.
jwasham/practice-c
Part of my daily plan for studying C.
jwasham/practice-cpp
Part of my daily plan for studying C++.
jwasham/assembly-and-c
Personal study of book "Low-Level Programming" by Igor Zhirkov (Apress, 2017)
snap-stanford/mars
Discovering novel cell types across heterogenous single-cell experiments
jwasham/lecture-reference
References in a lecture series.
rdturnermtl/bbo_challenge_starter_kit
Starter kit for the black box optimization challenge at Neurips 2020
snap-stanford/comet
[ICLR 2021] Concept Learners for Few-Shot Learning
filiptronicek/filiptronicek
My profile readme
jwasham/docker-nuke
Removes all docker containers, images, and volumes.
rdturnermtl/mlpaper
Easy benchmarking of machine learning models with sklearn interface with statistical tests built-in.
nd1511/OMASGAN_
OoD Minimum Anomaly Score GAN - Code for the Paper 'OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary'
bryant1410/resume
My resume
gouthampradhan/codeforces
gouthampradhan/hackerrank
Carmezim/ToxicCommentsClassification
Bidirectional LSTM in TensorFlow for Kaggle Text Classification Competition
Carmezim/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
gouthampradhan/HotelOptimizer
gouthampradhan/ScalaPlayground
Bryce1010/GNNPapers
Must-read papers on graph neural networks (GNN)
Carmezim/cortex-helm-chart
Helm chart for Cortex
Carmezim/dashboard-api-python
Dashboard api for python
Carmezim/graphql-engine
Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
Carmezim/playNYT
NYTimes articles as playlist . Built in React & Node
gouthampradhan/html-analyzer
A simple html analyzer
rdturnermtl/bayeshai
rdturnermtl/m2aic2019
Material for the M2 AIC class
rdturnermtl/nips_2018_workshop
tex files for paper
rdturnermtl/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)