Stars
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
A Latex style and template for paper preprints (based on NIPS style)
Statistical package in Python based on Pandas
Bayesian Modeling and Probabilistic Programming in Python
A Python module to perform exploratory & confirmatory factor analyses.
an R package for structural equation modeling and more
Official Code Repo for the paper "Supernova Event Dataset: Interpreting Large Language Model's Personality through Critical Event Analysis" accepted at Actionable Interpretability Workshop at ICML …
Everything about note management. All in Zotero.
Benchmarking LLMs' Gaming Ability in Multi-Agent Environments
Code to reproduce the paper "Questioning the Survey Responses of Large Language Models"
A collection of GPT system prompts and various prompt injection/leaking knowledge.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
A final sanity checklist to help your CS paper get accepted, not desk rejected.
Source 2 Viewer is a powerful tool that allows you to browse VPK archives, view, extract, and decompile Source 2 assets, including maps, models, materials, textures, sounds, and more.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and prov…
A modular graph-based Retrieval-Augmented Generation (RAG) system
Statsmodels: statistical modeling and econometrics in Python
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
RNN based Time-series Anomaly detector model implemented in Pytorch.
List of tools & datasets for anomaly detection on time-series data.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!