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academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

autogan

[ICCV 2019] AutoGAN: Neural Architecture Search for Generative Adversarial Networks

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bonedoctor

course-gitbook

Full Stack Deep Learning Online Course

create_tfrecords

A simpler way of preparing large-scale image dataset by generalizing functions from TensorFlow-slim

cs229t

Statistical Learning Theory (CS229T) Lecture Notes

cs236_dgm

🦍 Stanford CS236 : Deep Generative Models

dim

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

dml_cross_entropy

Code the the paper "Metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)

embeddednn

A collection of works aiming at deploying NN in embedded systems

emdl

Embedded and mobile deep learning research resources

examples

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

foundations_for_deep_learning

Building a scalable foundation for deep learning

generative-evaluation-prdc

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

metfaces-dataset

mimicry

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

mmd_loss.pytorch

A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

models

Models built with TensorFlow

powerful-benchmarker

A PyTorch library for benchmarking deep metric learning. It's powerful.

production-level-deep-learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

sngan_projection

GANs with spectral normalization and projection discriminator

structurednoiseinjection

TensorFlow implementation of the CVPR2020 paper: Disentangled Image Generation Through Structured Noise Injection

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-classifier-android

http://nilhcem.com/android/custom-tensorflow-classifier