markoorescanin Goto Github PK

alt-model-checkpoint

Adapter for Keras ModelCheckpoint callback that allows checkpointing an alternate (often sub-) model

analysisbysynthesis

Adversarially Robust Neural Network on MNIST.

antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

autokeras

accessible AutoML for deep learning.

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

caffe

compression

Data compression in TensorFlow

convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepbayes-2018

Seminars DeepBayes Summer School 2018

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

ec2-spot-labs

Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.

edvr

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks

enzynet

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

icassp19

Public repository for the paper "Learning Sound Event Classifiers from Web Audio with Noisy Labels"

imagenet_validation

kapre

kapre: Keras Audio Preprocessors

keras-contrib

Keras community contributions

keras-face-recognition

Who is your doppelgänger and more with Keras face recognition

keras-preprocessing

Utilities for working with image data, text data, and sequence data.

keras_lr_finder

Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.

markoorescanin.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

model-optimization

A suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.

models

Models and examples built with TensorFlow

pytorch_model_utils

Set of Pytorch functions designed to be modular and transferable to other tasks

speechcmdrecognition

A neural attention model for speech command recognition

stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

strengthening-dnns

Code repository to accompany the O'Reilly book: "Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery"