一个基于RNN的中国诗歌生成器 https://github.com/DevinZ1993/Chinese-Poetry-Generation
TensorFlow Serving是一款用于为机器学习模型提供灵活、高性能服务的系统 https://github.com/tensorflow/serving
利用Tensorflow.js实现浏览器中的姿势检测：PoseNet模型 https://github.com/llSourcell/pose_estimation
用TensorFlow.js实现的画风迁移、符号识别、涂鸦识别、目光跟踪、情感分类等小项目 https://github.com/zaidalyafeai/zaidalyafeai.github.io
命令行机器学习开发环境(TensorFlow)：预训练模型/数据预处理/数据增强/训练会话/REST界面 https://github.com/vergeml/vergeml
TensorFlow-From-Zero-To-One 一位 TensorFlow 学习者整理的参考资料、笔记和代码 https://github.com/amusi/TensorFlow-From-Zero-To-One
A generalized gradient-based CNN visualization technique https://github.com/adityac94/Grad_CAM_plus_plus
TensorFlow模型优化工具集 https://github.com/tensorflow/model-optimization
TensorFlow 2模型花园：最先进预训练模型/示例代码库 https://github.com/tensorflow/models
30 天吃掉那只 TensorFlow 2.0 https://lyhue1991.github.io/eat_tensorflow2_in_30_days/ https://github.com/lyhue1991/eat_tensorflow2_in_30_days
(TensorFlow)机器学习交互示例集 https://research.google.com/seedbank/
【Keras调试技巧(官方)】《Keras Debugging Tips》 https://keras.io/examples/keras_recipes/debugging_tips/
《Fine-tuning ResNet with Keras, TensorFlow, and Deep Learning | PyImageSearch》 https://www.pyimagesearch.com/2020/04/27/fine-tuning-resnet-with-keras-tensorflow-and-deep-learning/
Self-training with Noisy Student improves ImageNet classification https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
Keras(官方)开发者指南&示例集锦 https://github.com/keras-team/keras-io https://keras.io/guides/ https://keras.io/examples/
Tensorflow公平性评价、可视化工具集】 https://github.com/tensorflow/fairness-indicators
TinyML——在Arduino和超低功耗微控制器上用TensorFlow实现机器学习 https://tinymlbook.com/wp-content/uploads/2020/01/tflite_micro_preview.pdf
Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond" https://github.com/taki0112/RAdam-Tensorflow
【TensorFlow 模型优化工具包：优化机器学习模型以便部署和执行】 https://www.tensorflow.org/model_optimization
【deeplearning.ai 的新专项课程：TensorFlow数据与部署——包括TensorFlow.js浏览器模型部署、TensorFlow Lite设备端部署、TensorFlow Data Services数据管道以及TensorFlow高级部署场景四门具体课程】 https://www.coursera.org/specializations/tensorflow-data-and-deployment
【TensorFlow 2.0手写文字识别】 https://github.com/arthurflor23/handwritten-text-recognition
机器学习: 从0到1学Tensorflow(中文) https://weibo.com/tv/v/IrQd6klxL?fid=1034:4466355252953095 https://www.youtube.com/playlist?list=PLQY2H8rRoyvwr-3IlvJXA1JyOlpcbIGa1
【无需转换用Node.js运行TensorFlow SavedModel】 https://blog.tensorflow.org/2020/01/run-tensorflow-savedmodel-in-nodejs-directly-without-conversion.html
《动手学深度学习》(Dive into Deep Learning) 原书中的 MXNet 实现改为 TensorFlow 2.0 实现 https://github.com/TrickyGo/Dive-into-DL-TensorFlow2.0
TensorFlow 2教程：tf.keras深度学习入门 https://machinelearningmastery.com/tensorflow-tutorial-deep-learning-with-tf-keras/
【TensorBoard.dev：分享机器学习实验结果的新方法】 https://blog.tensorflow.org/2019/12/introducing-tensorboarddev-new-way-to.html
Uber发布的TensorFlow分布式训练框架Horovod https:// github.com/uber/horovod
GitHub 标星 3.6k，一本开源的深度学习中文教程！ https://mp.weixin.qq.com/s/JbX5rTzFV92_cdxGZ5e8rw
Handtrack.js：用 Tensorflow.js 三行代码实现浏览器里的的手势交互 https://github.com/victordibia/handtrack.js/
【TensorFlow 2.0深度学习开源书】’深度学习开源书，基于TensorFlow 2.0实战。 https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book
https://github.com/YunYang1994/TensorFlow2.0-Examples
Tensorflow 2.x 资源大列表 https://github.com/Amin-Tgz/awesome-tensorflow-2
TensorFlow图形学入门 https://github.com/tensorflow/graphics
深度学习自动化算法集(TensorFlow) https://github.com/D-X-Y/AutoDL-Projects
Basic_CNNs_TensorFlow2 - A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet). https://github.com/calmisential/Basic_CNNs_TensorFlow2
Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting) https://github.com/AmazaspShumik/mtlearn
(TensorFlow)深度网络可视化技术教程 https://github.com/1202kbs/Understanding-NN
【用TensorFlow model server产品化部署机器学习模型】《Deploying models to production with TensorFlow model server》 https://towardsdatascience.com/deploying-models-to-production-with-tensorflow-model-server-225a81859031
【TensorFlow Lite移植到Unity实例】 https://github.com/asus4/tf-lite-unity-sample
【用TensorFlow Object Detection (TFOD) API快速训练自定义目标检测】 https://colab.research.google.com/github/sayakpaul/TF-2.0-Hacks/blob/master/Training_a_pets_detector_model_within_minutes_with_TFOD_API.ipynb
CppFlow：无需Bazel/TensorFlow用C++运行TensorFlow模型 https://github.com/serizba/cppflow
Keras(官方)例子集 https://keras.io/examples/
GPU accelerated deep learning inference applications using TensorflowLite GPUDelegate / TensorRT https://github.com/terryky/tflite_gles_app
https://keras.io/getting_started/intro_to_keras_for_researchers/
用tf.data减少深度学习模型训练时间 https://towardsdatascience.com/how-to-reduce-training-time-for-a-deep-learning-model-using-tf-data-43e1989d2961
https://github.com/keras-team/keras-cv
用Tensorflow目标检测API/Tensorflow 2训练自定义目标检测模型 https://github.com/TannerGilbert/Tensorflow-Object-Detection-API-Train-Model
Keras实例教程 https://github.com/sujitpal/keras-tutorial-odsc2020
TensorFlow 2目标检测预训练模型库(COCO 2017) https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.mdhttps://github.com/tensorflow/models/blob/master/research/object_detection/colab_tutorials/inference_tf2_colab.ipynb
aXeleRate：基于Keras的边缘计算机视觉框架 https://github.com/AIWintermuteAI/aXeleRate
Tensorflow Wheels https://github.com/davidenunes/tensorflow-wheels
Keras教程：基于Transformer的推荐系统 https://keras.io/examples/structured_data/movielens_recommendations_transformers/
Keras实例：概率贝叶斯神经网络 https://keras.io/examples/keras_recipes/bayesian_neural_networks/
pyradox：基于Tensorflow 2的最新深度学习架构实现库 https://github.com/Ritvik19/pyradox
tflite2tensorflow - Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite and .pb from .tflite https://github.com/PINTO0309/tflite2tensorflow
tflite：TFLite模型(*.tflite)解析库 https://github.com/jackwish/tflite
TensorFlow Recommenders：基于Keras用于构建推荐系统模型的TensorFlow库 https://www.tensorflow.org/recommenders
https://github.com/dipanjanS/tensorflow2-crash-course
TensorFlow.js实践教程 https://codelabs.developers.google.com/codelabs/tensorflowjs-convert-python-savedmodel#0
DLFlow：一套深度学习pipeline，结合了Spark的大规模特征处理能力和Tensorflow模型构建能力 github.com/didi/dlflow
Ludwig：基于TensorFlow，无需编写代码的深度学习模型训练和评价工具箱 github.com/ludwig-ai/ludwig
TensorFlow Decision Forests(TF-DF)介绍 https://blog.tensorflow.org/2021/05/introducing-tensorflow-decision-forests.html
KSAI Lite：轻量级、灵活性强、高性能且易于扩展的深度学习推理框架，底层基于tensorflow lite，定位支持包括移动端、嵌入式以及服务器端在内的多硬件平台 github.com/kingsoft-wps/KSAI-Lite
Keras实例：面向图像分类的CutMix数据增强 https://keras.io/examples/vision/cutmix/
TensorFlow Lite让实现手机端目标检测更简单 https://blog.tensorflow.org/2021/06/easier-object-detection-on-mobile-with-tf-lite.html
《简单粗暴 TensorFlow 2》 #TODO https://tf.wiki/zh_hans/basic/tools.html#cats-vs-dogs 本书作为简明的 TensorFlow 2 入门指导手册，基于 Keras 和即时执行模式（Eager Execution），力图让具备一定机器学习及 Python 基础的开发者们快速上手 TensorFlow 2。 github.com/snowkylin/tensorflow-handbook
Keras实例：Compact Convolutional Transformer(CCT)图像分类 https://keras.io/examples/vision/cct/
Tensorflow 模型线上部署教程 github.com/BeyonderXX/tensorflow-serving-tutorial
TensorFlow&JAX实战教程 github.com/AakashKumarNain/TF_JAX_tutorials
tf-keras-vis：tf.keras神经网络可视化工具包 github.com/keisen/tf-keras-vis
Keras实例：手写字符识别 https://keras.io/examples/vision/handwriting_recognition/
Tensorflow/tfjs-examples https://github.com/tensorflow/tfjs-examples
Keras实例教程：基于聚合注意力增强卷积网络 https://keras.io/examples/vision/patch_convnet/
基于Scikit-Learn, Keras, TensorFlow 2的机器学习/深度学习实战Jupyter notebook集 github.com/ageron/handson-ml3