Lightweight and Fast Feature Store Powered by Go (and Rust).

Minimalist ML framework for Rust

Composable building blocks to build Llama Apps

Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends

✨✨ Official repo for "Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context Learning"

The main repo for NLWeb, implemented in Python.

Achieve state of the art inference performance with modern accelerators on Kubernetes

Tabular Deep Learning Library for PyTorch

Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning on Tabular Data

Tabular In-Context Learning

An Open-Source Framework for Prompt-Learning.

Repository for collecting and categorizing papers outlined in our survey paper: "Large Language Models on Tabular Data -- A Survey".

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

We collect papers about "large language models (LLM) for table-related tasks", e.g., using LLM for Table QA task. “表格+LLM”相关论文整理

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

Defines a common protocol for debug adapters.

Implementation of TSDS: Data Selection for Task-Specific Model Finetuning

Must-read papers on network representation learning (NRL)/network embedding (NE)

Resolver implementation and toolset for generating and interacting with Pipfile and Pipfile.lock.

Feature Store for Machine Learning

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

High-dimensional Time Series Clustering via Cross-Predictability

Standalone Neural Ranking Model (SNRM)

Benchmarks of approximate nearest neighbor libraries in Python

Official software repository of S. Bruch, F. M. Nardini, C. Rulli, and R. Venturini. "Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations." Long Paper @ ACM SIG…

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Always know what to expect from your data.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Package management made easy