Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.
- autodiff
- automatic-differentiation
- cross-platform
- deep-learning
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Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.
TensorFlow Lite models for MIRNet for low-light image enhancement.
Project tracking of the "Mobile ML Working Group", for the End-to-End TensorFlow Lite tutorials.
Using Machine Learning to predict the type of exercise from movement data
ReAlign models instantly, on demand. Per-request alignment for verified users and channels, or Always On. Use directly or with Hermes, OpenClaw and custom harnesses.
A TensorFlow implementation of the Mnemonic Descent Method.
Learning cell communication from spatial graphs of cells
How to create a Cartoonizer Android app with TensorFlow Lite models.
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
TensorBoard as a Zipline dashboard
Tensorboard extension for Jupyterlab all in one
A platform independent tensor library with autograd for the JVM
Examples of Tensorflow Lite on Android
TensorFlow.Delphi (TF.Delphi) provides a Delphi(Pascal) Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in Delphi which allows Pascal developers to develop, train and deploy Machine Learning models with the Pascal Delphi
Re-implement CycleGAN in Tensorlayer
TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"
Address book for computer vision models.
A Tensorfflow implementation of Attend, Infer, Repeat
How to create Selfie2Anime from tflite model to Android.
Unsupervised Image to Image Translation with Generative Adversarial Networks
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
implement classification for CAPTCHA in TensorFlow
Catkin-friendly C++ bindings for tensorflow.