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Awesome-LLM: a curated list of Large Language Model
LaTeX samples for NSF Research.gov Proposal Submission. For more information about Research.gov Proposal Submission visit https://www.research.gov/research-web/content/aboutpsm Feedback syee@nsf.gov
Examples for an AI course following the textbook Artificial Intelligence: A Modern Approach by Russell and Norvig.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A curated list to learning and practicing about algorithm.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
scikit-learn extensions that I find useful.
🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. 学术主页，AI 生成，Markdown 拥有 👇
A beautiful, simple, clean, and responsive Jekyll theme for academics
Python3 bindings for the Compact Language Detector v3 (CLD3)
CodeSwitch is a NLP tool, can use for language identification, pos tagging, name entity recognition, sentiment analysis of code mixed data.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
The repo contains the code of the ACL2020 paper `Dice Loss for Data-imbalanced NLP Tasks`
Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
Automated seizure detection algorithm for neonatal EEG
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
GANs for time series generation in pytorch
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
Multi-Scale Convolutional Recurrent Encoder-Decoder
Unsupervised Differentiable Multi-aspect Network Embedding (asp2vec) (KDD2020)
Basics of point processes using python for simulation
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.