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PyMC educational resources
Analysis scripts for log data sets used in anomaly detection.
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
The little ASGI framework that shines. 🌟
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Solve puzzles. Improve your pytorch.
Interpret text data with LLMs (sklearn compatible).
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
This repository contains a collection of papers and resources on Reasoning in Large Language Models.
[ACL 2023] Reasoning with Language Model Prompting: A Survey
Instruct-tune LLaMA on consumer hardware
A beautiful, simple, clean, and responsive Jekyll theme for academics
A spectral method for assessing and combining multiple data visualizations
The code and data for AAAI-2021 paper "Automated Lay Language Summarization of Biomedical Scientific Reviews".
A playbook for systematically maximizing the performance of deep learning models.
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data
[IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"
Transfer learning for sleep stage detection
TOIS'23, Personalized Prompt Learning for Explainable Recommendation
A very simple framework for state-of-the-art Natural Language Processing (NLP)