PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
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Updated
Jul 13, 2020 - Jupyter Notebook
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Tensorflow Faster RCNN for Object Detection
CNN-RNN中文文本分类,基于TensorFlow
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
A TensorFlow & Deep Learning online course I taught in 2016
TensorFlow template application for deep learning
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
A language-agnostic interface to TensorBoard
CNN visualization tool in TensorFlow
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.
A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
Start Tensorboard in Jupyter Notebook
Standalone TensorBoard for visualizing in deep learning
How to use TensorLayer
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Conversation models in TensorFlow. (website removed)
When a TF serving model returns a failure instead of a prediction, pass the failure string to the front-end for display instead of the generic http error we see now.
Organize PyTorch Experiments
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Simplify the training and tuning of Tensorflow models
Tensorboard extension for jupyterlab.
Natural Language Processing with TensorFlow, published by Packt
a lightweight and simple logger for Machine Learning
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Hi I would like to propose a better implementation for 'test_indices':
We can remove the unneeded np.array casting:
Cleaner/New:
test_indices = list(set(range(len(texts))) - set(train_indices))
Old:
test_indices = np.array(list(set(range(len(texts))) - set(train_indices)))