github.com
A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
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github.com
A very simple wrapper for convenient hyperparameter optimization.
github.com
General Automated Machine Learning Framework.
github.com
Distributed Asynchronous Hyperparameter Optimization in Python.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
github.com
Toolset for black-box hyperparameter optimisation.
iamtrask.github.io
A machine learning craftsmanship blog.
Creates, rewrites or summarizes written content with language models.
github.com
An open-source visual programming environment for battle-testing prompts to LLMs.
ibm.com
See how IBM Watson has advanced enterprise AI.
icml.cc
International Conference on Machine Learning.
github.com
A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
github.com
Julia-language backend combined with the Jupyter interactive environment.
huggingface.co
Illusion Diffusion supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
imean.ai
Plan smarter with iMean AI: your AI Trip Planner for cheap flights, hotels, and personalized itineraries.
github.com
Rails-like inflection library for Clojure and ClojureScript.
github.com
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
github.com
Framework to connect a flow of ML models by applying graph theory.
github.com
A toolkit to help understand models and enable responsible machine learning.
interviews.chat
AI Interview Assistant for real-time support. Unlimited sessions, dual responses, and AI models.
huggingface.co
Edit /src/streamlit app.py to customize this app to your heart's desire.:heart:.
github.com
Notebooks and code for the book "Introduction to Machine Learning with Python".
pellaml.github.io
IUMB supports machine learning models, deployment, inspection, datasets, or AI development workflows.