kwotsin

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

TensorFlow-ENet. TensorFlow implementation of ENet

transfer_learning_tutorial. A guide to transfer learning with inception-resnet-v2.

TensorFlow-Xception. TensorFlow implementation of the Xception Model by François Chollet

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

awesome-deep-vision. A curated list of deep learning resources for computer vision

foundations_for_deep_learning. Building a scalable foundation for deep learning

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

emdl. Embedded and mobile deep learning research resources

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

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

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

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

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

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

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

cs229t. Statistical Learning Theory (CS229T) Lecture Notes

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

course-gitbook. Full Stack Deep Learning Online Course

MMD_Loss.Pytorch. A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

metfaces-dataset. Python

awesome-self-supervised-learning. A curated list of awesome self-supervised methods

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

tensorflow. Computation using data flow graphs for scalable machine learning

vision. Datasets, Transforms and Models specific to Computer Vision

sngan_projection. GANs with spectral normalization and projection discriminator

bonedoctor. Java

CS236_DGM. 🦍 Stanford CS236 : Deep Generative Models

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

EmbeddedNN. A collection of works aiming at deploying NN in embedded systems

academic-kickstart. 📝 Easily create a beautiful website using Academic, Hugo, and Netlify