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deep-learning-guide

An evolving guide to learning Deep Learning effectively.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep_architecture_genealogy

Deep Learning Architecture Genealogy Project

deep_knowledge_tracing

Knowledge Tracing using RNN - Independent Study Project with Prof. Mike Mozer at CU

deeplearningexamples

Deep Learning Examples

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

deepo

A Docker image containing almost all popular deep learning frameworks: theano, tensorflow, sonnet, pytorch, keras, lasagne, mxnet, cntk, chainer, caffe, torch.

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

diagrams

:art: Diagram as Code for prototyping cloud system architectures

disruptcnn

dlaicourse

Notebooks for learning deep learning

ec2-topology-aware-for-slurm

ecosystem

Integration of TensorFlow with other open-source frameworks

engineering-blogs

A curated list of engineering blogs of startup and enterprise companies

envoy

Cloud-native high-performance edge/middle/service proxy

expediapersonalizedsortcompetition

Transformation and benchmark code for Expedia's Personalized Sort Kaggle Competition

explained-visually

find-birds

Find people you should follow on Twitter based on who the people you follow follow

flashlight

A C++ standalone library for machine learning

flowtron

Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer

ghost-desktop

⚡️ Ghost for Desktops

gitignore

A collection of useful .gitignore templates

gpu-accerelated-search-notebook

Notebook tutorial for creating a GPU accelerated search index on a Nvidia Data Science Workstation

gravity

Minimal is the new cool.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hellocardboard

Assignment 1 - Introduction to VR by Daniel Szafir (CSCI 7000)

helm-chart

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

human-detection-in-depth-image

find a distance between a human and a wall in a corridor using depth camera observations.

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.