🏆 Winning NeurIPS (NIPS) Competition Track: Big ANN, Practical Vector Search Challenge 2023. （see big-ann-benchmark https://big-ann-benchmarks.com/neurips23.html). The fastest cross-modal vector re…

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

🦜🔗 Build context-aware reasoning applications

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases (https://stark.stanford.edu/)

Data synthesis via local distribution shifting to embed IP information into synthetic samples

Python implementation of k-Shape

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Let us control diffusion models!

Approximate Nearest Neighbor Search for Sparse Data in Python!

[official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]

Longest Common Sub-sequence Bucketing algorithm

TSGBench: Time Series Generation Benchmark (VLDB'24)

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

Online Book Store

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

Samples for users of the Yelp Academic Dataset

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

GPT-3: Language Models are Few-Shot Learners

Code for the paper "Language Models are Unsupervised Multitask Learners"

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

SRS - Fast Approximate Nearest Neighbor Search in High Dimensional Euclidean Space With a Tiny Index

Massive Sparse Data Clustering Based on Frequent Items (SIGMOD 2023)

Massive Sparse Data Clustering Based on Frequent Items (SIGMOD 2023) (CPU version)

An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection

Implementation of our TMM paper: "Semantic-Aware Triplet Loss for Image Classification"

Implementation of our ECCV-2022 paper: "Chairs can be stood on: Overcoming Object Bias in Human-Object Interaction Detection"

Official implementation our ACM MM22 Paper "Distance Matters in Human-Object Interaction Detection"