AI Tools Directory

shark

A fast, modular, feature-rich open-source C++ machine learning library.

Stan

A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampl

Timbl

A software package/C++ library implementing several memory-based learning algorithms, among which IB1-IG, an implementat

QuestDB

A relational column-oriented database designed for real-time analytics on time series and event data.

Truss

An open source framework for packaging and serving ML models.

CRF++

Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural L

CRFsuite

CRFsuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. **[Deprecated]**

MXNet

Bindings to Apache MXNet - part of the MXNet project

Java Interop

Clojure has Native Java Interop from which Java's ML ecosystem can be accessed

JavaScript Interop

ClojureScript has Native JavaScript Interop from which JavaScript's ML ecosystem can be accessed

Neanderthal

Fast Clojure Matrix Library (native CPU, GPU, OpenCL, CUDA)

Scicloj

Curated list of ML related resources for Clojure.

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MovieLens-1M

dataset, embodying varied social traits and preferences.

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AlpacaEval

An Automatic Evaluator for Instruction-following Language Models using Nous benchmark suite.

Berkeley Function-Calling Leaderboard

evaluates LLM's ability to call external functions/tools.

CompMix

a benchmark evaluating QA methods that operate over a mixture of heterogeneous input sources (KB, text, tables, infoboxe

DreamBench++

a benchmark for evaluating the performance of large language models (LLMs) in various tasks related to both textual and

FELM

a meta-benchmark that evaluates how well factuality evaluators assess the outputs of large language models (LLMs).

InfiBench

a benchmark designed to evaluate large language models (LLMs) specifically in their ability to answer real-world coding-

LawBench

a benchmark designed to evaluate large language models in the legal domain.

LLMEval

focuses on understanding how these models perform in various scenarios and analyzing results from an interpretability pe