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automl

Google Brain AutoML

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

darknet

Convolutional Neural Networks

diff-zoo

Differentiation for Hackers

efficientdet-tf

Custom implementation of EfficientDet https://arxiv.org/abs/1911.09070

examples

TensorFlow examples

hotsunbox

neuralpde.jl

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

retinaface-tf2

这是一个retinaface-tf2的源码，可以用于训练自己的模型。

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

tensorflow-yolov3

🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset

yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0