github.com
Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
Directory
Search results
Published directory entries matching your search.
github.com
Python library for data-centric AI and machine learning with messy, real-world data and labels.
github.com
Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
github.com
A machine learning library for Clojure built on top of Weka and friends.
github.com
Interop with R and Renjin (R on the JVM).
github.com
Natural Language Processing in Clojure (opennlp).
github.com
Open-source library for implementing CI/CD in machine learning projects.
github.com
A curated list of language modeling researches for code and related datasets.
github.com
Open-source tool that lets you package ML models in a standard, production-ready container.
github.com
A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
github.com
Track, log, visualize and evaluate your LLM prompts and prompt chains.
github.com
Plugin for CMS Adobe Experience Manager (AEM) or Composum Pages helping the editor to create / edit / translate texts.
github.com
Scalable Machine Learning in Scalding.
github.com
A curation of awesome tools, documents and projects about LLM Security.
github.com
A Julia package providing a variety of loaders for various NLP corpora.
github.com
Teaching LLMs memory management for unbounded context [[demo page]](https://memgpt.ai/) [[arxiv]](https://arxiv.org/abs/2310.08560).
github.com
Fast inference engine for Transformer models in C++.
github.com
Cybertron: the home planet of the Transformers in Go.
github.com
Julia package for Regularized Discriminant Analysis.
github.com
A data orchestrator for machine learning, analytics, and ETL.
github.com
Creates or edits images with generative models and visual controls.
github.com
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.
github.com
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
github.com
Machine Learning framework for rapid development of Machine Learning and Statistical applications.