머신러닝 · GitHub

Image Segmentation and Object Detection in Pytorch

Image Segmentation framework based on Tensorflow and TF-Slim library

A high-level toolbox for using complex valued neural networks in PyTorch

PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

Prophecis is a one-stop cloud native machine learning platform.

Neural Network proposal for WASI

🧠 Web Neural Network API

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

A curated (most recent) list of resources for Learning with Noisy Labels

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

💻 📓 Guia de estudos (iniciante) sobre Inteligência Artificial. Contém trilhas de aprendizagem, canais, cursos , livros etc.

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

A deep learning toolkit for mass spectrometry