TensorFlow implementation of DropBlock
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Updated
Jul 5, 2024 - Python
TensorFlow implementation of DropBlock
TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code
Example code for using Tensorflow 2.0 with both numerical and categorical data
TensorFlow implementation of Deformable Convolutional Layer
Eagerly Experimentable!!!
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
Tensor utilities, reinforcement learning, and more!
Major anomaly detection methods using neural networks are implemented in this repository 🔥
A Tensorflow Keras implementation (Graph and eager execution) of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
Foolbox Native brings native performance to Foolbox
Major GANs are implemented in this repository 🔥
3 different ways to implement GD in TF2.0
This is a Tensorflow implementation of text recognition model from the paper "An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition".
Cyclic learning rate TensorFlow implementation.
An example of semantic segmentation using tensorflow in eager execution.
MobileNetV2 written in tensorflow, training with eager mode and estimator API
Image Style Transfer in TensorFlow
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