#Tensorboard
Showing 38 of 38 repositories tagged #tensorboard, ranked by stars
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.
⚡️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
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
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.
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.
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
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
TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.
A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs
Simplify the training and tuning of Tensorflow models
PyTorch dataset debugger for computer vision — pause training, mine live loss signals to surface mislabels, class imbalance & outliers, then curate your image, video & LiDAR data without restarting
a lightweight and simple logger for Machine Learning
Experiment tracking server focused on speed and scalability
ML/AI training/serving and agent sandbox operator and controller for Kubernetes
Face Anti-Spoofing project. Lanit-Tercom summer school 2022
Study and implementation about deep learning models, architectures, applications and frameworks
Deep learning using CNN in tensorflow on Kaggle image dataset containing 87,900 different healthy and unhealthy crop leaves spanning 38 unique classes.
A visualization tool to show a TensorFlow's graph like TensorBoard
A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker Hub: