⚡️SwanLab: your ML experiment notebook. 你的AI实验笔记本，跟踪与可视化你的机器学习全流程

Launch and view Tensorboards in VS Code —

Experiment tracking server focused on speed and scalability

An exploration of the mechanics of transfer learning in TensorFlow

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

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:

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

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

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

Pneumo.ai is a Streamlit web app for detecting pneumonia from X-rays, leveraging CNN variants like AlexNet, VGG, and ResNet18, with ResNet18 leading with an accuracy of 0.89. It employs early stopping callbacks for efficient model training, visualizes training using TensorBoard, and optimizes inference time with pruning and quantization techniques.

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

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

Machine Learning Operator & Controller for Kubernetes

A multitask neural network that does both regression and classification

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.

Code for Tensorflow Machine Learning Cookbook

Tensorboard control panel as a docker image

A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs

Easy peasy logging to TensorBoard with Julia

Prediction Of Loan Repayment using Sequential Neural Networks on Lending Club Dataset.