PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code
翻译 - PyTorch，TensorFlow，JAX和NumPy —它们全部本机使用相同的代码
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
#计算机科学#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
Cyclic learning rate TensorFlow implementation.
Just another YOLO V2 implementation. Train your own dataset in a jupyter notebook!
#计算机科学#Tutorials of TensorFlow eager execution
An example of semantic segmentation using tensorflow in eager execution.
Eagerly Experimentable!!!
#计算机科学#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.Datase...
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)
#计算机科学#Tensor utilities, reinforcement learning, and more!
#计算机科学#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.
#计算机科学#Foolbox Native brings native performance to Foolbox
A tutorial on forward models for model-based reinforcement learning.
A modular C++17 framework for automatic differentiation