Launch and view Tensorboards in VS Code —
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Updated
May 28, 2024 - TypeScript
Launch and view Tensorboards in VS Code —
⚡️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
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Study and implementation about deep learning models, architectures, applications and frameworks
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 multitask neural network that does both regression and classification
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Code for Tensorflow Machine Learning Cookbook
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Experiment tracking server focused on speed and scalability
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.
⭐ 本科毕业设计:基于内容的音乐推荐系统设计与开发。使用了Pytorch框架构建训练模型代码,使用Django构建了前后端。
An exploration of the mechanics of transfer learning in TensorFlow
This Python project uses TensorFlow & Keras to build a spam SMS classifier. It constructs an LSTM model, and trains/evaluates it.
Multi-task deep learning for predicting house price and category using PyTorch and Lightning
Train a food detective! We'll use a pre-trained image pro (transfer learning) to teach your model basic image recognition. Then, it specializes in food details (pizza ,steak , sushi). Pytorch acts as your mission control, letting you track progress and identify any bad habits (overfitting) your model develops.
The prominent cases about neural network based on PyTorch.
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