peterdonnelly1

pipeline

Deep Learning System for Cancer Classification Experiments Using RNA-Seq Data or Whole Slide Images or Both (Masters thesis)

autoencoder

Implementation of a convolutional auto-encoder in PyTorch

autoencoder-1

Convolutional AutoEncoder in pytorch

axolotl

Go ahead and axolotl questions

Deep-Clustering

Clustering using Deep Learning (T-SNE visualization of autoencoder embeddings )

deep-histopath

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

Fast_WSI_Color_Norm

Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology

fastai-petfinder

Merging image, tabular and text data in a neural network with fastai

Image-Autoencoder

Convolutional Image Autoencoder in PyTorch

keras

Deep Learning for humans

models

Models and examples built with TensorFlow

monkey_caput

Custom PyTorch model (VGG-16 Auto-Encoder) and custom criterion (Local Aggregation) for image clustering. The repo contains elaborated creation of fungi image data using factory method.

neusomatic

NeuSomatic: Deep convolutional neural networks for accurate somatic mutation detection

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

openTSNE

Extensible, parallel implementations of t-SNE

pubmed-data

Pubmed data files in binary format

pytorch-autoencoder

A convolutional encoder-decoder structure implemented in pytorch

quip_classification

quip_distro

Semisupervised-Clustering

PyTorch semi-supervised clustering with Convolutional Autoencoders

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensor2tensor_translator

tensorflow

An Open Source Machine Learning Framework for Everyone

TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

torch_DCEC

Pytorch Deep Clustering with Convolutional Autoencoders implementation

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

tsne-cuda

GPU Accelerated t-SNE for CUDA with Python bindings

u24_lymphocyte