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git_tutorial

gojq

JSON query in Golang

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

google-interview-university

A complete daily plan for studying to become a Google software engineer.

grunt-workflow-guide

A guide for getting started with Grunt

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

hdbscan

A high performance implementation of HDBSCAN clustering.

hiddenlayer

Neural network graphs and training metrics for PyTorch and Tensorflow.

hilbertcurve

maps between 1-D space filling hilbert curve and N-D coordinates

hiphip

hiphip (array)! simple, performant array manipulation in Clojure

how-to-deploy-a-tensorflow-model-in-production

This is the code for the "How to Deploy a Tensorflow Model in Production" by Siraj Raval on YouTube

how-to-predict-stock-prices-easily-demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

how_to_convert_text_to_images

This is the code for "How to Convert Text to Images - Intro to Deep Learning #16' by Siraj Raval on YouTube

how_to_deploy_a_keras_model_to_production

This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube

how_to_win_slot_machines

This is the code for "How to Do Win Slot Machines - Intro to Deep Learning #13' by Siraj Raval on YouTube

hume

This is a note app intended for those who markdown, LaTex and draw.

infogan-pytorch

implement infoGAN using pytorch

inno_model_lib

interview_cake

interview_questions

intro-deeplearning-siraj-week13

intro_nlp_coursera

jule.torch

Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"

kaggle-web-traffic-forecasting

kalibaapp

kfac_pytorch

khan_algorithm

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

kobe_bryant_shots

Predict from Kobe's shot selection

lanedetection