Maschinelles Lernen · GitHub

The implement of GNN based on Pytorch

Suggestions for those interested in developing audio applications of machine learning

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.

Mixed continous/categorical flow-matching model for de novo molecule generation.

Приёмы в машинном обучении

SpectralQuant: Calibrated Eigenbasis Rotation and Water-Filled Bit Allocation for KV-Cache Compression

Tools for loading standard data sets in machine learning

PDFs and Codelabs for the Efficient Deep Learning book.

[CVPR2020] "Detecting Attended Visual Targets in Video"

Sample code for deep learning & neural networks

iStratDE is a GPU-accelerated Differential Evolution framework that enhances performance through individual-level strategy diversity. By assigning unique, fixed strategies to each individual at initialization, it achieves robust, communication-free optimization without complex adaptation mechanisms. Supporting both JAX and PyTorch backends.

Robust QR Detector based on YOLOv8

Official implementations for "Action2Motion: Conditioned Generation of 3D Human Motions (ACM MultiMedia 2020)"

Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.

My repo for training neural nets using pytorch-lightning and hydra

ArcGIS built-in python raster functions for deep learning to get you started fast.

A certifiable defense against adversarial examples by training neural networks to be provably robust

📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.

Machine learning and decision intelligence models designed to improve healthcare safety through clinical risk prediction and medical interaction analysis.

[OpenPAR] An open-source framework for Pedestrian Attribute Recognition, based on PyTorch

PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python 3 and PyQT5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models.