classification

第五届百度西安交大大数据竞赛 城市区域功能分类 Baseline

easy-bert是一个中文NLP工具，提供诸多bert变体调用和调参方法，极速上手；清晰的设计和代码注释，也很适合学习

Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.

The largest multilingual image-text classification dataset. It contains fashion products.

Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments

Turn documents into structured JSON with local-first document AI. Run 100% locally by default, with API, CLI, and Web UI.

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

Explore the use of DSPy for extracting features from PDFs 🔎

This includes the codebase for EntroPE (Entropy-Guided Dynamic Patch Encoder for Time Series Forecasting) paper.

Framework to evaluate Trajectory Classification Algorithms

A pipeline for Prompt-tuning

Tree prompting: easy-to-use scikit-learn interface for improved prompting.

A extension of Transformers library to include T5ForSequenceClassification class.

Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language

Run zero-shot prediction models on your data

Building Systems with the ChatGPT API

🖼️ Classify images and extract data from or describe their contents using machine learning

Let ChatGPT (Large Language Models) Serve As Data Annotator and Zero-shot/few-shot Information Extractor.

Generalized cross-modal NNs; new audiovisual benchmark (IEEE TNNLS 2019)

WeldFusionNet: Multimodal deep learning for automated weld defect classification using sensor, audio, and video data (F1: 0.9567)