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3d-caffe

3d_tests_caffe

Tests of the PR #3983 of Caffe supporting Nd operations

adversarial_video_generation

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

anomaly-detection-patchsvdd-pytorch

anomalydetectiontransformations

A simple and effective method for single-class classification of images

bayesian-methods-for-machine-learning

Bayesian Methods for Machine Learning

caffe

Caffe: a fast open framework for deep learning.

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

convlstmcell-tensorflow

ConvLSTMCell for TensorFlow

convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

convolutional-neural-networks-in-python

These are my solutions to the programming assignments of the class CS231n: Convolutional Neural Networks for Visual Recognition

core

:house_with_garden: Open source home automation that puts local control and privacy first.

dcgan-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

deblurganv2

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation

dense3dcrf

Fully-connected (dense) 3D CRF for processing biomedical scans

denseinferencewrapper

A python wrapper for Krähenbühls dense CRF for medical image volumes.

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015.

gated-pixelcnn-pytorch

Gated PixelCNN implementation in pytorch

generate_3d_data

scripts for extracting 3d patches from nii files and saving them into hdf5 files

geodesic_distance

geodesic distance transform of 2d/3d images

homework

Imitation Learning Homework 1

incubator_proposal

medical image segmentation of CT scans

mask_rcnn

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

medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

mlai2015

Machine learning and adaptive intelligence module for 2015.

mlalgorithms

Minimal and clean examples of machine learning algorithms

monty_hall_simulation

monty hall problem simulation in python

ncrf

Cancer metastasis detection with neural conditional random field (NCRF)