philferriere
Former Cruise Senior Software/Research Engineer and Microsoft Tech/Development Lead passionate about Deep Learning with a focus on Computer Vision.
FreelancePalm Springs, CA
Pinned Repositories
aind-projects
Phil Ferriere's Artificial Intelligence Nanodegree Projects (reports and code)
cocoapi
Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
dlwin
GPU-accelerated Deep Learning on Windows 10 native
mscsshiny
Test/demo web app for R packages like {mscsweblm4r} and {mscstexta4r} that interface with Microsoft Cognitive Services REST APIs.
mscstexta4r
R Client for the Microsoft Cognitive Services Text Analytics REST API
pyflow
Fast, accurate and easy to run dense optical flow with python wrapper
tfoptflow
Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)
tfvos
Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.
tfwss
Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
philferriere's Repositories
philferriere/cocoapi
Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
philferriere/tfoptflow
Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)
philferriere/dlwin
GPU-accelerated Deep Learning on Windows 10 native
philferriere/tfwss
Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
philferriere/tfvos
Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.
philferriere/aind-projects
Phil Ferriere's Artificial Intelligence Nanodegree Projects (reports and code)
philferriere/mscstexta4r
R Client for the Microsoft Cognitive Services Text Analytics REST API
philferriere/pyflow
Fast, accurate and easy to run dense optical flow with python wrapper
philferriere/mscsshiny
Test/demo web app for R packages like {mscsweblm4r} and {mscstexta4r} that interface with Microsoft Cognitive Services REST APIs.
philferriere/tf-dsb-18
Team Three_Explorers 2018 Data Science Bowl Dual U-Net Nuclei Segmentation Solution
philferriere/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
philferriere/mscsweblm4r
R Client for the Microsoft Cognitive Services Web Language Model REST API
philferriere/awesome-deep-vision
A curated list of deep learning resources for computer vision
philferriere/awesome-semantic-segmentation
awesome-semantic-segmentation
philferriere/dotfiles
A collection of my personal dotfiles
philferriere/keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
philferriere/LapSRN
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)
philferriere/modern-deep-learning-docker
Modern Deep Learning Docker Image
philferriere/SemanticSegmentation_DL
Resources of semantic segmantation based on Deep Learning model
philferriere/TuSimple-DUC
Understanding Convolution for Semantic Segmentation