randomthoughts2018 Goto Github PK

adam_qas

ADAM - A Question Answering System. Inspired from IBM Watson

adduplication

advanced-nodejs

For help, ask in #questions at slack.jscomplete.com

algovis

collection of projects and links about algorithm visualization

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

avito-kaggle

awesome-nodejs

:zap: Delightful Node.js packages and resources

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-satellite-imagery-competitions

List of machine learning competitions for satellite imagery and remote sensing.

betterml

blog

Personal Blog

catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

cinema-microservice

Example of a cinema microservice

coding-interview-university

A complete computer science study plan to become a software engineer.

creativecomputing

decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deep-learning

A few notebooks about deep learning in pytorch

deep-painterly-harmonization

Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

entity-embedding-rossmann

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fastai

The fast.ai deep learning library, lessons, and tutorials

fastai_deeplearn_part1

Notes for Fastai Deep Learning Course - Part 1 v2

fastaiv2

Lecture Notes for Deep Learning course from fast.ai

fastphotostyle

Style transfer, deep learning, feature transform

flaskr-tdd

Flaskr: Intro to Flask, Test Driven Development (TDD), and jQuery

fun

how-to-kaggle

A research into the workflow for Kaggle competition (and data science in general) collaboratively

intrinsic-dimension