philferriere

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Freelance

Palm Springs, CA

https://www.linkedin.com/in/philferriere

Phil Ferriere's repositories

cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

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dlwin

GPU-accelerated Deep Learning on Windows 10 native

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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)

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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).

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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.

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aind-projects

Phil Ferriere's Artificial Intelligence Nanodegree Projects (reports and code)

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mscstexta4r

R Client for the Microsoft Cognitive Services Text Analytics REST API

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pyflow

Fast, accurate and easy to run dense optical flow with python wrapper

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mscsshiny

Test/demo web app for R packages like {mscsweblm4r} and {mscstexta4r} that interface with Microsoft Cognitive Services REST APIs.

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tf-dsb-18

Team Three_Explorers 2018 Data Science Bowl Dual U-Net Nuclei Segmentation Solution

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Mask_RCNN

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

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mscsweblm4r

R Client for the Microsoft Cognitive Services Web Language Model REST API

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awesome-deep-vision

A curated list of deep learning resources for computer vision

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awesome-semantic-segmentation

awesome-semantic-segmentation

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dotfiles

A collection of my personal dotfiles

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keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

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LapSRN

Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)

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modern-deep-learning-docker

Modern Deep Learning Docker Image

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SemanticSegmentation_DL

Resources of semantic segmantation based on Deep Learning model

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TuSimple-DUC

Understanding Convolution for Semantic Segmentation

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