KB (bright1125)

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tensorflow-android

Convert your ckpt to pb savedModel for converting to tensorflow.js

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Smartcab

运用强化学习技术让一个自动驾驶智能车在一个简化的世界中,并且在有限时间内高效地抵达目的地。

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boston_housing-master

使用不同的参数和训练集大小分析学习算法的性能图表,挑选最佳泛化模型以预测新房屋的销售价格。

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creating_customer_segments-master

应用非监督学习技能研究产品花销数据。

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Android-Object-Detection

:coffee: Fast-RCNN and Scene Recognition using Caffe

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android-yolo

Real-time object detection on Android using the YOLO network with TensorFlow

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AndroidTensorFlowMachineLearningExample

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

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awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

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awesome-rl

Reinforcement learning resources curated

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deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

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Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

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finding_donors

选择监督学习算法应用在数据集上,找出最适合的算法并优化模型。最后深入探索这个模型以及它的预测。

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github-learning

以前就想搞github,一直没搞起来

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image-classification

利用Cifar-10数据集在tensorflow环境中进行图像分类

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learnopencv

Learn OpenCV : C++ and Python Examples

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models

Models and examples built with TensorFlow

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object_detector_app

Real-Time Object Recognition App with Tensorflow and OpenCV

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reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

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Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

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rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

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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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tensorflow

Computation using data flow graphs for scalable machine learning

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tensorflow_chatbot

Tensorflow chatbot demo by @Sirajology on Youtube

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TensorFlowAndroidDemo

TensorFlow android demo 车道线 车辆 人脸 动作 骨架 识别 检测

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test

try to version control

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text-detection-ctpn

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

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titanic_survival_exploration

创建决策函数,并根据1912年泰坦尼克号海难的乘客特征,对乘客生还结果进行预测。

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