Track, log, visualize and evaluate your LLM prompts and prompt chains.
Directory
Search results
Published directory entries matching your search.
Command Line Guide is an open source command-line or Unix tool for terminal workflows and system use.
Plugin for CMS Adobe Experience Manager (AEM) or Composum Pages helping the editor to create / edit / translate texts.
OS-agnostic, system-level binary package manager and ecosystem.
A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
A Julia package providing a variety of loaders for various NLP corpora.
Teaching LLMs memory management for unbounded context [[demo page]](https://memgpt.ai/) [[arxiv]](https://arxiv.org/abs/2310.08560).
Cybertron: the home planet of the Transformers in Go.
Julia package for Regularized Discriminant Analysis.
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation".
Train and run a computer vision model with 5-10 lines of code.
Many useful features that aren't part of the main nn package.
Python library for scalable Bayesian optimisation.
Reading Wikipedia to answer open-domain questions.
High performance library for time series distances (DTW) and time series clustering.
Design and Deploy Large Language Model Apps.
Python library for experiment metrics logging into simply formatted local files.
An evolutionary optimization library.
A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.
Face recognition library that recognizes and manipulates faces from Python or from the command line.
FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.