|8 days ago||4 months ago|
|GNU General Public License v3.0 or later||MIT License|
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I created a way to learn machine learning through Jupyter
2 projects | reddit.com/r/learnmachinelearning | 30 Apr 2021
There are actually some online books and courses built on Jupyter Notebook ([Dive to Deep Learning Book](https://github.com/d2l-ai/d2l-en) for example). However yours is more detail and could really helps beginners.
[R] Strategies and Tactics for Regression on Imbalanced Data
1 project | reddit.com/r/MachineLearning | 22 May 2021
Code (+ dataset + models): https://github.com/YyzHarry/imbalanced-regression
What are some alternatives?
autogluon - AutoGluon: AutoML for Text, Image, and Tabular Data
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
ssd_keras - A Keras port of Single Shot MultiBox Detector
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
ScanRefer - [ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
einops - Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
DeepCamera - AI Face Recognition/Person Detection NVR. Machine Learning On The Edge, turn your Camera into AI-powered with Jetson Nano and telegram to protect your privacy.
textgenrnn - Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)