kevinmtian's repositories
FreeML
A List of Data Science Resources (Mostly Free)
gcn
Implementation of Graph Convolutional Networks in TensorFlow
Deeplearning-digital-pathology
Full package for applying deep learning to virtual slides.
Deep-MIML-Network
Learning to Separate Object Sounds by Watching Unlabeled Video (ECCV 2018)
FROC-Free-response-Receiver-Operating-Characteristic-curve
computes and plots a FROC - Free-response Receiver Operating Characteristic
glow
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
cuda-programming
GPU programming resources and examples
mixup
Implementation of the mixup training method
numbskull
Numba-based version of DimmWitted Gibbs sampler
learning-gpu
Learning some CUDA programming
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
knowledge_representation_pytorch
Several knowledge graph representation algorithms implemented with pytorch
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework.
3D-Unet
A simple implementation of 3D-Unet on a 3D Prostate Segmentation Task
ml_sampler
Model assisted random sampling.
time-series-machine-learning
Machine learning models for time series analysis
faceswap
Non official project based on original /r/Deepfakes thread. Many thanks to him!
TernausNet
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
util
Wonderful reusable code from Twitter
folly
An open-source C++ library developed and used at Facebook.
AE_ts
Auto encoder for time series
fastText
Library for fast text representation and classification.
science_rcn
Reference implementation of a two-level RCN model
prostate_segmentation
NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures
Camelyon16
Evaluation code for CAMELYON16 challenge.
ITKGraphCutSegmentation
An ITK implementation of the GraphCut framework. See 'Graph cuts and efficient ND image segmentation' by Boykov and Funka-Lea and 'Interactive graph cuts for optimal boundary & region segmentation of objects in ND images' by Boykov and Jolly.