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2017-learning-to-run

The Winning Solution for the Learning To Run Challenge 2017

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

caffe

Caffe

caffe2

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

caffe2_cpp_tutorial

C++ transcripts of the Caffe2 Python tutorials and other C++ example code

detectron

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

experimentsprediciton

face2face-demo

pix2pix demo that learns from facial landmarks and translates this into a face

first_expts

for test and checks

gpy

Gaussian processes framework in python

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

indic_nlp_library

Resources and tools for Indian language Natural Language Processing

lasagne

neural network tools for Theano

ocropy

Python-based tools for document analysis and OCR

opencv

Open Source Computer Vision Library

opendetection

OpenDetection is a standalone open source project for object detection and recognition in images and 3D point clouds.

overfeat

seqlearn

Sequence learning toolkit for Python

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

tensor2tensor

A library for generalized sequence to sequence models

torch7

tutorials

A series of machine learning tutorials for Torch7

tweep-tweep

github repo for SMA for INE 2014