머신러닝 · GitHub

PyTorch implementation of V2V-PoseNet with IntegralPose/PoseFix loss

Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"

The implement of GNN based on Pytorch

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

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.

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.

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

Deep Residual Learning in Spiking Neural Networks

icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors

A django app that builds item-based suggestions for users.

TimeSHAP explains Recurrent Neural Network predictions.

OnnxTR a docTR (Document Text Recognition) library Onnx pipeline wrapper - for seamless, high-performing & accessible OCR

"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

PyTorch implementation of Additive Angular Margin Loss for Deep Face Recognition.

PubMed 200k RCT dataset: a large dataset for sequential sentence classification.

MatDeepLearn, package for graph neural networks in materials chemistry