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

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

CNN-RNN中文文本分类，基于TensorFlow

Tensorflow Faster RCNN for Object Detection

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.

C++ DataFrame for statistical, financial, and ML analysis in modern C++

MuZero

A TensorFlow & Deep Learning online course I taught in 2016

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

TensorFlow template application for deep learning

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

Source code/webpage/demos for the What-If Tool

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

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:

A language-agnostic interface to TensorBoard

CNN visualization tool in TensorFlow

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.

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

PyTorch Project Specification.

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 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

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Tensorboard extension for jupyterlab.