PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code

Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support

TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT

A Tensorflow Keras implementation (Graph and eager execution) of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.

Faster R-CNN R-101-FPN model was implemented with TensorFlow2.0 eager execution.

TensorFlow 2.0 implementation of MAML.

TensorFlow implementation of Deformable Convolutional Layer

TensorFlow implementation of DropBlock

Cyclic learning rate TensorFlow implementation.

Just another YOLO V2 implementation. Train your own dataset in a jupyter notebook!

Tutorials of TensorFlow eager execution

An example of semantic segmentation using tensorflow in eager execution.

Eagerly Experimentable!!!

In this project I implement Neural Machine Translation using Attention mechanism. The code is written using the TensorFlow library in Python. I have used TensorFlow functionalities like tf.data.Dataset to manage the input pipeline, Eager Execution and Model sub classing to create the model architecture.

Header only lazy evaluation tensor math library with multi-backend parallel eager execution support (TBB, OpenMP, Parallel STL and in the future CUDA and OpenCL)

Tensor utilities, reinforcement learning, and more!

Foolbox Native brings native performance to Foolbox

Implementing Style Transfer in Tensorflow 2.0, using the VGG19 network architecture, which composes the content image in the style of the reference picture, both input by the user.

A tutorial on forward models for model-based reinforcement learning.

A modular C++17 framework for automatic differentiation