lllds (DontsingListen)

DontsingListen

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lllds's repositories

awesome-deep-vision

A curated list of deep learning resources for computer vision

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awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

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benchmark_results

visual tracker benchmark results

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deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

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Deformable-ConvNets

Deformable Convolutional Networks

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Detectron

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

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DontsingListen.github.io

my personal website

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EOS

BlockchainTranslator

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EthList

The Comprehensive Ethereum Reading List

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heatmap

opencv heatmapping of movement.

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hello-world

Just another repository

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Kaggle_Digit_Recognizer

kaggle's getting started competition: Digit Recognizer

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Kaggle_Titanic

kaggle's getting started competition: Titanic

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learngit

using git control to connecting github

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loan_tree

关于金融贷款的简单决策树模型

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models

Models and examples built with TensorFlow

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neuralPlateRecognition

This project is developed in Python using OpenCV and the free deep learning library 'neural-networks-and-deep-learning'. It is capable of recognizing cars and reading the plate number.

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python-binance

Binance Exchange API python implementation for automated trading

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python-idex

IDEX Exchange REST API python implementation

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R-FCN

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

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siamfc-tf

State-of-the-art object tracking at high framerates, in TensorFlow.

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Spoon-Knife

This repo is for demonstration purposes only.

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stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

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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.

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TFFRCNN

FastER RCNN built on tensorflow

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