Talk by Princeton professor Arvind Narayanan.
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Quickly understand inscrutable LLM frameworks by intercepting API calls.
Making neural nets uncool again, focused on making deep learning more accessible.
Industrial Grade Federated Learning Framework.
Feature store for machine learning.
Feature engineering package with SKlearn like functionality.
Python library for automated feature engineering.
Python distributed computing library for modern computer clusters.
A Scala library for constructing probabilistic models.
Figure is the first-of-its-kind AI robotics company bringing a general purpose humanoid to life.
Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
Ignite your models into blazing-fast machine learning APIs with a modern framework.
Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
Friendly Federated Learning Framework.
Drag & drop UI to build your customized LLM flow using LangchainJS.
The elegant machine learning library.
Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
An open source Python library for drift detection in machine learning systems.
FutureTools supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Telegram link is a Telegram channel, group, or bot link for updates, files, community posts, or support.
Unsupervised machine learning with multivariate Gaussian mixture model.
Julia package for Gaussian processes.
genei applies AI to workplace tasks, meetings, sales, marketing, or productivity.