Kwotsin (kwotsin)

kwotsin

Geek Repo

Company:Snap Inc. | University of Cambridge

Location:New York

Home Page:https://www.linkedin.com/in/kwotsin/

Twitter:@kwotsin

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Kwotsin's repositories

mimicry

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

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TensorFlow-ENet

TensorFlow implementation of ENet

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transfer_learning_tutorial

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

TensorFlow-Xception

TensorFlow implementation of the Xception Model by François Chollet

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create_tfrecords

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

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foundations_for_deep_learning

Building a scalable foundation for deep learning

emdl

Embedded and mobile deep learning research resources

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awesome-production-machine-learning

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

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DIM

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

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academic-kickstart

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

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AutoGAN

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

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awesome-self-supervised-learning

A curated list of awesome self-supervised methods

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course-gitbook

Full Stack Deep Learning Online Course

cs229t

Statistical Learning Theory (CS229T) Lecture Notes

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CS236_DGM

🦍 Stanford CS236 : Deep Generative Models

dml_cross_entropy

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

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EmbeddedNN

A collection of works aiming at deploying NN in embedded systems

examples

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

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generative-evaluation-prdc

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

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MMD_Loss.Pytorch

A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

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mmf

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

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powerful-benchmarker

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

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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

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StructuredNoiseInjection

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

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tensorflow

Computation using data flow graphs for scalable machine learning

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tensorflow-classifier-android

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

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vision

Datasets, Transforms and Models specific to Computer Vision

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