github.com
Explaining the predictions of any machine learning classifier.
Directory
Search results
Published directory entries matching your search.
github.com
Energy-based machine learning models built upon PyTorch.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Lightweight library to build and train neural networks in Theano.
github.com
FastAPI framework to build production-grade LLM applications.
github.com
A lightweight framework for building LLM-based agents.
github.com
Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.
github.com
A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
github.com
Easy-to-use, scalable hyperparameter optimization framework.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
A python package that integrates an LLM copilot inside the keras model development workflow.
github.com
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
github.com
Jupyter notebook is a web-based notebook environment for interactive computing.
github.com
Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
github.com
A project to make it easier to use large external knowledge bases with LLMs.
github.com
Autograd and XLA for high-performance machine learning research.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
github.com
An open-source visual programming environment for battle-testing prompts to LLMs.
github.com
Distributed Asynchronous Hyperparameter Optimization in Python.
github.com
A very simple wrapper for convenient hyperparameter optimization.
github.com
A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.