Pinned Repositories
AgeGenderDeepLearning
lsim
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation
pixel-rnn-tensorflow
TensorFlow implementation of Pixel Recurrent Neural Networks
thecodinglove-slack
mtngld's Repositories
mtngld/lsim
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation
mtngld/pixel-rnn-tensorflow
TensorFlow implementation of Pixel Recurrent Neural Networks
mtngld/thecodinglove-slack
mtngld/AgeGenderDeepLearning
mtngld/caffe
Caffe: a fast open framework for deep learning.
mtngld/cv-final-project
TAU Computer Vision Final Project
mtngld/cycada_release
Code to accompany ICML 2018 paper
mtngld/datasets
A collection of datasets ready to use with TensorFlow
mtngld/dcgan-completion.tensorflow
Image Completion with Deep Learning in TensorFlow
mtngld/djinni
A tool for generating cross-language type declarations and interface bindings.
mtngld/dotfiles
:wrench: .files, including ~/.macos — sensible hacker defaults for macOS
mtngld/flickr-download
Simple script to download a Flickr set
mtngld/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
mtngld/models
Models built with TensorFlow
mtngld/monodepth-1
Unsupervised single image depth prediction with CNNs
mtngld/Mri-server
Monitor training in Caffe
mtngld/mtngld.github.io
Matan Goldman's Website
mtngld/opencv_contrib
Repository for OpenCV's extra modules
mtngld/reuven-slack
This is a slack bot of Reuven from Erez Nehedert
mtngld/salad
A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.
mtngld/scikit-learn
scikit-learn: machine learning in Python
mtngld/surreal
Learning from Synthetic Humans, CVPR 2017
mtngld/swagger-codegen
swagger-codegen contains a template-driven engine to generate client code in different languages by parsing your Swagger Resource Declaration.
mtngld/tensorflow
Computation using data flow graphs for scalable machine learning
mtngld/torcheval
A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to facilitate metric computation in distributed training and tools for PyTorch model evaluations.