vaibagga

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

stringr

A fresh approach to string manipulation in R

ggplot2

An implementation of the Grammar of Graphics in R

tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

self_driving_cars_explained

This is the code for "Self Driving Cars Explaioned" by Siraj Raval on Youtube

datasets

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Detectron

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

translate

Translate - a PyTorch Language Library

fastText

Library for fast text representation and classification.

pycon-2018-tutorial

Using pandas for Better (and Worse) Data Science

jupyter

Jupyter metapackage for installation, docs and chat

ChatBot

Detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Kaggle-Titanic-Problem

Tutorial for the Titanic Challenge

opencv

Open Source Computer Vision Library

NotesApp-NodeJS-

NodeJS based NotesApp which is directly used through the terminal

emotion-detection

Model for developing facial mood music player

muct

Landmarked face database (3755 faces, 76 landmarks)

go

The Open Source Data Science Masters

DataCamp-Solution-

awesome-competitive-programming

:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

ConferenceWebsite

Website for the International Conference on Pure and Applied Mathematics

Satark-Crime-Mapper

deep-learning-nano-foundation

Udacity's Deep Learning Nano Foundation program.

tensorflow-101

TensorFlow 101: Introduction to Deep Learning

scikit-learn

scikit-learn: machine learning in Python

inception

ml4a-ofx

A collection of openFrameworks apps for working with machine learning

chess-prediction