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Charles's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

ctpn icon ctpn

Detecting Text in Natural Image with Connectionist Text Proposal Network

dasiamrpn icon dasiamrpn

Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

goturn icon goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

keras-tutorial icon keras-tutorial

Tutorial teaching the basics of Keras and some deep learning concepts

mnc icon mnc

Instance-aware Semantic Segmentation via Multi-task Network Cascades

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

r-fcn icon r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

ssd icon ssd

single shot detector

state-of-the-art-result-for-machine-learning-problems icon state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

ta-fcn icon ta-fcn

Translation-aware Fully Convolutional Instance Segmentation

tensorflow-zh icon tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

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