Machine Learning CollectionA resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
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Tensorflow 2.x TutorialsTensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
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Machine Learning머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
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ExamplesTensorFlow examples
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DocsTensorFlow documentation
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Tensorflow CmakeTensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow.cmake
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Daily Deeplearning🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial
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Dr.sure🏫DeepLearning学习笔记以及Tensorflow、Pytorch的使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术,欢迎批评指正。
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Tensorflow chessbotPredict chessboard FEN layouts from images using TensorFlow
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CppflowRun TensorFlow models in C++ without installation and without Bazel
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Fire Detection Cnnreal-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
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Tensorflow ResourcesCurated Tensorflow code resources to help you get started with Deep Learning.
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ZhihuThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
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Tf tutorial plusTutorials for TensorFlow APIs the official documentation doesn't cover
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Gradient-SamplesSamples for TensorFlow binding for .NET by Lost Tech
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tensorflow-practiceTutorials of Tensorflow for beginners with popular data sets and projects. Let's have fun to learn Machine Learning with Tensorflow.
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deep dreamDeepDream psychodelic image generator.
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terfGo library for reading/writing TensorFlow TFRecords file format
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S4TF-TutorialsRepository for reviews and evaluations of converted Swift Notebooks as part of GSoC '19 program
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