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Create, train, and save Tensorflow Keras models all in Golang
TensorFlow 2 implementation of 3DBoNet designed for being almost completely in pure TensorFlow (Only one custom op!), extendibile and modular.
[Italian] Material for a theoretical practical machine learning crash course with TensorFlow 2.0
Run TensorFlow models in C++ without installation and without Bazel
A Python module to customize the process title
Dockerfile and scripts to get and run nerdz in one step
A performant and modular runtime for TensorFlow
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Control your media player with your face. Dataset creation, training, model selection and inference.
Bear is a tool that generates a compilation database for clang tooling.
🍪 Cookiecutter 🍪 (https://github.com/audreyr/cookiecutter) opinionated template for a Python package compliant with https://github.com/zurutech/styleguide.
Use pip-tools (https://github.com/jazzband/pip-tools) to compile a requirements.in folder into proper pinned dependencies.
Hands-On Neural Networks with TensorFlow 2.0, published by Packt
Below are some simple methods for exiting vim.
Tools for diagnosing DLL dependency loading issues
⏰ AI conference deadline countdowns
TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
A flexible command line client for Arch Linux's User Repository
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
A C daemon that turns your webcam into a light sensor. It will adjust screen backlight based on ambient brightness.
👨🎨A tiny web service to help you upgrade your TensorFlow code
High level network definitions with pre-trained weights in TensorFlow
Semantic Segmentation using a synthetic dataset
A simple, self hosted, low level programming language.
Material for the tutorial: "Deep Diving into GANs: from theory to production"
UnrealCV: Connecting Computer Vision to Unreal Engine