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RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
Official Repo of paper "KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction". In the paper, we propose KnowCoder, the most powerful large language model so far for…
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
zero shot NER fine tuning
This is the github repository for the paper at NAACL 2024: Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models.
NER model repo for MultiNERD dataset from HF
Guideline following Large Language Model for Information Extraction
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Examples and guides for using the OpenAI API
TensorFlow code and pre-trained models for BERT
A fast multi-core implementation of HDBSCAN for low dimensional Euclidean spaces
The interactive graphing library for Python ✨
A high performance implementation of HDBSCAN clustering.
A Library for Advanced Deep Time Series Models.
Docker-based local PHP+Node.js web development environments
Merlion: A Machine Learning Framework for Time Series Intelligence
A unified framework for machine learning with time series
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…