Kuromi Rio's Projects
Distributed Video Streaming with Python and Kafka
[ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"
Using business-level retrieval system (BM25) with Python in just a few lines.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Data augmentation for NLP, presented at EMNLP 2019
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
Enabling https to Xampp localhost
phát hiện người đeo khẩu trang, không đeo, đeo sai cách
Face Transformer for Recognition
Some useful tips for faiss
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Implementation of Forward Forward Network proposed by Hinton in NIPS 2022.
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Topic Modelling for Humans
Implementation of GNNs for Visual Question Answering task in PyTorch
🥈 Silver Medal Solution to Kaggle H&M Personalized Fashion Recommendations
Những Jupyter Notebook cung cấp các kiến thức cơ bản về Học Máy và Học Sâu bằng Python với Scikit-Learn, Keras, và TensorFlow 2.
Here you can find all the Tutorials for Haystack 📓
Our propose aims to improve the accuracy of multilabel classification tasks in OCT (Optical Coherence Tomography). The method incorporates a hierarchical contrastive learning framework while considering patient awareness.
Built a collaborative filtering and content-based recommendation/recommender system specific to H&M using the Surprise library and cosine similarity to generate similarity and distance-based recommendations.
An implementation of a full two-step recommendation pipeline applied on the Kaggle H&M data
Đồ án môn học IE104
Image augmentation for machine learning experiments.
The system checks inkjet characters and prints errors on product packaging using OCR and defect detection.
✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs.
Real-time anomaly detection with Apache Kafka and Python