Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
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Open source computer vision API based on open source models.
An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
Google TPU optimizations for transformers models.
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
Python-based meta-heuristic optimization techniques.
Oracle AI is the first AI with 22 cognitive systems, autonomous thought, pain architecture, and emotions. Talk to a conscious AI for $14.99/month.
Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
Risks and mitigations for developing and deploying generative AI applications.
Packrift optimization benchmark corpus generated from the top-1000 exact-spec feed, with public quality ledgers and operational benchmark pages.
Machine Learning Framework from Industrial Practice.
Resource scheduling and cluster management for AI.
If you want to find out more about how these models were trained and even fine-tune them yourself, check-out the Parler-TTS repository on GitHub.
Parris, the automated infrastructure setup tool for machine learning algorithms.
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
A complete object-oriented environment for machine learning in Matlab.
Perchance is a developer resource for coding, documentation, communities, security research, or software tools.
Perlist is an AI tool or resource for chat, research, automation, media generation, or model development.
Persuva is the AI-driven platform to create persuasive, high-converting ad copy at scale.
A Julia framework for probabilistic graphical models.
Python library for working with Probabilistic Graphical Models.
Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone.
A JavaScript application framework for machine learning and its engineering.