Stars
Sequential Parameter Optimization in Python
Algorithms and models for AI-driven test function generation and optimization, using BBOB synthetic benchmarks (f1, f24) for empirical evaluation.
Hyperparameter Tuning of a Convolutional Neural Network for image classification of the Fashion MNIST dataset.
🦜🔗 Build context-aware reasoning applications
Active Learning for Text Classification in Python
A scikit-learn based module for multi-label et. al. classification
A system for quickly generating training data with weak supervision
Efficient few-shot learning with Sentence Transformers
💫 Industrial-strength Natural Language Processing (NLP) in Python
A very simple framework for state-of-the-art Natural Language Processing (NLP)
[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach
Leveraging Type Descriptions for Zero-shot Named Entity Recognition and Classification, published in ACL 2021.
Zero and Few shot named entity & relationships recognition
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
Seamlessly integrate LLMs into scikit-learn.
Intel Labs open source repository for time series anomaly detection evaluator
Python implementation of paper "Precision and Recall for Time Series" https://arxiv.org/abs/1803.03639
Unofficial Python implementation of "Precision and Recall for Time Series".
A sample project to demonstrate how to implement a full-stack app with SAP Cloud Application Programming Model, plus SAPUI5 and TypeScript.
This project contains sample applications for SAP Cloud Application Programming Model.
Generator for UI5-based web-apps which use the official UI5 tooling and support multiple deployment targets such as the SAP Business Technology Platform