TensorFlow - A curated list of dedicated resources. With repository stars⭐ and forks🍴
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Updated
Jun 12, 2024
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
TensorFlow - A curated list of dedicated resources. With repository stars⭐ and forks🍴
Sipaling is a web application that predicts stock prices using an LSTM deep learning model
Collection of RNN GAN SNN CNN in Tensorflow
Pre-trained Deep Learning models and demos (high quality and extremely fast)
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Face and iris detection for Python based on MediaPipe
Run TensorFlow models in C++ without installation and without Bazel
"Stock Predictor" project basically aims to provide a visual representation and analysis of data related to time-series data which is constantly changing. This provides a dashboard to user displaying current trends and stocks data which uses ML like "LSTM" and "Random Forest" model.
A concept on how Machine Learning (ML) can be integrated on Web apps
hyper-sinh: An Accurate and Reliable Activation Function from Shallow to Deep Learning in TensorFlow, Keras, and PyTorch
Chatbot using TensorFlow and Keras. The chatbot is designed to respond to user queries and prompts with contextually relevant answers.
A calculator that uses handwritten digits and operators to calculate the result, using contour detection and CNN model prediction. Tensorflow (Keras) is used to create, train and load the neural network model used for predictions. CustomTKinter is used to provide the GUI. OpenCV and Pillow (PIL) are used for contour detection.
TensorflowProject
Convert ONNX model graph to Keras model format.
A Machine Learning Model capable to detect person's mood (happy or sad) from image
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
Monocular Depth Estimation using MiDaS in Android
Age + Gender Estimation on Android with TensorFlow Lite
Models and examples built with TensorFlow.
Created by Google Brain Team
Released November 9, 2015