There are 13 repositories under tensorboard topic.
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》)
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Code for Tensorflow Machine Learning Cookbook
CNN-RNN中文文本分类,基于TensorFlow
Tensorflow Faster RCNN for Object Detection
MuZero
A TensorFlow & Deep Learning online course I taught in 2016
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
TensorFlow template application for deep learning
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
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.
Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
Source code/webpage/demos for the What-If Tool
:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:
A language-agnostic interface to TensorBoard
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
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.
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.
Start Tensorboard in Jupyter Notebook
Standalone TensorBoard for visualizing in deep learning
How to use TensorLayer
Tensorboard extension for jupyterlab.
Conversation models in TensorFlow. (website removed)
📈 TensorFlow + Matplotlib as TF ops
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
Natural Language Processing with TensorFlow, published by Packt
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python