github.com
A python package that integrates an LLM copilot inside the keras model development workflow.
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keras.io
Keras provides machine-learning models, research, training resources, or evaluation tools.
Kaveen Kumarasinghe - founder of GPT Discord - website provides machine-learning models, research, training resources, or evaluation tools.
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.
jvns.ca
Creates, rewrites or summarizes written content with language models.
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.
clojurescript.org
ClojureScript has Native JavaScript Interop from which JavaScript's ML ecosystem can be accessed.
clojure.org
Clojure has Native Java Interop from which Java's ML ecosystem can be accessed.
interviews.chat
AI Interview Assistant for real-time support. Unlimited sessions, dual responses, and AI models.
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].
ibm.com
See how IBM Watson has advanced enterprise AI.
github.com
An open-source visual programming environment for battle-testing prompts to LLMs.
Creates, rewrites or summarizes written content with language models.
iamtrask.github.io
A machine learning craftsmanship blog.
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.
github.com
"building applications with LLMs through composability".
github.com
Making large AI models cheaper, faster and more accessible.