机器学习 · GitHub

NLP 领域常见任务的实现，包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。

This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis.

Transform facial images with virtual makeup using Python, OpenCV, and MediaPipe. This script enables real-time application of lipstick, eye shadow, eyebrow color, and eyeliner based on facial landmarks. Ideal for experimenting with different makeup styles using video, image, or live camera inputs.

Sequence to sequence learning using TensorFlow.

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

3D image classification using CNN (Convolutional Neural Network)

Mechanistic understanding and validation of large AI models with SemanticLens

PyTorch compiler and WebGPU runtime

This is tensorflow implementation for paper "Deep Image Matting"

A curated collection of public industrial datasets.

Graph Neural Networks in Julia

• Implementation of common graph convolutional layers.
• Computation on batched graphs.

Awesome things about domain generalization, including papers, code, etc.

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021, oral.