109 Open source projects that are alternatives of or similar to Fast-AgingGAN

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

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

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

A visualization tool to show a TensorFlow's graph like TensorBoard

Build deep learning applications in a new and easy way.

A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.

Aggregate multiple tensorboard runs to new summary or csv files

How to use TensorLayer

TensorFlow template application for deep learning

Streamlit component for TensorBoard, TensorFlow's visualization toolkit

A language-agnostic interface to TensorBoard

A PyTorch Implementation of "Densely Connected Convolutional Networks"

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.

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

Start Tensorboard in Jupyter Notebook

Simplify the training and tuning of Tensorflow models

Standalone TensorBoard for visualizing in deep learning

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》)

Conversation models in TensorFlow. (website removed)

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.

Tensorboard for Caffe2

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

No description or website provided.

a lightweight and simple logger for Machine Learning

Machine Learning Operator & Controller for Kubernetes

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.

Enable TensorBoard for TensorFlow Go API

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

A complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.

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

Natural Language Processing with TensorFlow, published by Packt

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

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

The open and extensible integrated development environment (IDE) for computer vision with built-in modules for model building, automated labeling, data processing, model training, hyperparameter tuning and workflow orchestration.

A Toolkit for Training, Tracking, Saving Models and Syncing Results

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Chrome Extension of hiding empty scalar/panes in TensorBoard.

Tensorflow Faster RCNN for Object Detection

A TensorFlow & Deep Learning online course I taught in 2016

CNN-RNN中文文本分类，基于TensorFlow

MuZero

📈 TensorFlow + Matplotlib as TF ops

Pythonic functions for creating and enhancing Hydra applications

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Study and implementation about deep learning models, architectures, applications and frameworks

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

Tensorboard extension for jupyterlab.

🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow

CNN visualization tool in TensorFlow

FLOR: Fast Low-Overhead Recovery. FLOR lets you log ML training data post-hoc, with hindsight.

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

Code for Tensorflow Machine Learning Cookbook

Public reusable components for Polyaxon

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

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

A toolset for black-box hyperparameter optimisation.