KFoldImblearn handles the resampling of data in a k fold fashion, taking care of information leakage so that our results are not overly optimistic. It is built over the imblearn package and is comp…

Supercharge Your LLM Application Evaluations 🚀

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

Pure python implementation of product quantization for nearest neighbor search

A cloud-native vector database, storage for next generation AI applications

A library for efficient similarity search and clustering of dense vectors.

Semantic document retrieval with Elasticsearch and sentence-transformers.

Benchmarks of approximate nearest neighbor libraries in Python

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Python wrapper for Stanford CoreNLP.

Minimal keyword extraction with BERT

Implementation and Evaluation of "A Deep Relevance Matching Model for Ad-hoc Retrieval"

Robust Self-augmentation for NER with Meta-reweighting

Must-read Papers on Textual Adversarial Attack and Defense

Instructional notebooks on music information retrieval.

An R package for utility-based learning

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

Uniform Manifold Approximation and Projection

BlocklyML is a simple visual programming Tool for python and ML. 🧩 🖥️

🎛 🔊 A Python library for audio.

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

A modular embodied agent architecture and platform for building embodied agents

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Implementation of character based convolutional neural network

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

📝 This repository recorded my NLP journey.

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity

Experimental syslog template mining module