arunkumarramanan Goto Github PK

humpback-whale-identification-challenge-2019_2nd_palce_solution

Kaggle Humpback Whale Identification Challenge 2019 2nd place code

hyper

A terminal built on web technologies

hyperledger

Hyperledger Project is a new Collaborative Project at The Linux Foundation. The technical community is just getting started and will be adding code to the repository in the coming weeks. Check hyperledger.org for more information about joining the mailing lists and participating in the conversations.

icml2016

Generative Adversarial Text-to-Image Synthesis

ignite

High-level library to help with training neural networks in PyTorch

illustrated-algorithms

Interactive algorithm visualizations

imaterialist-furniture-2018

Kaggle competition

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

imet-6th-soltuion

Code for iMet Collection 2019 - FGVC6

imgaug

Image augmentation for machine learning experiments.

improved-gan

code for the paper "Improved Techniques for Training GANs"

inat_comp_2018

CNN training code for iNaturalist 2018 image classification competition

inclusive-images-challenge

4th place solution for the Inclusive Images Challenge on Kaggle

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

incubator-singa

Mirror of Apache Singa (Incubating)

indaba-2018

Practical Notebooks for the Deep Learning Indaba 2018

infersent

Sentence embeddings (InferSent) and training code for NLI.

influential-cs-books

Most influential books on Computer Science/programming

innersource

interactive-coding-challenges

Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

interpret

Fit interpretable models. Explain blackbox machine learning.

interpretable-ml-book

Book about interpretable machine learning

interview

Everything you need to prepare for your technical interview

interview-preparation

It contains company wise collection of data structures and algorithms problems on various topics

interviewmap

Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc.

interviews

Everything you need to know to get the job.

intro-html

A robot powered training repository :robot:

intro2deeplearning

Introduction to Deep Learning

introduction-to-algorithms

Introduction to Algorithms

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"