Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
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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.
Generate web pages from text, screenshot and template with one click using Claude AI.
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.
A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
Perlist is an AI tool or resource for chat, research, automation, media generation, or model development.
AI-powered answer engine that searches the web and cites sources for research questions.
Persuva is the AI-driven platform to create persuasive, high-converting ad copy at scale.
Enables single machine or distributed training and evaluation of deep learning models.
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.
A better version of Jieba, developed by Peking University.
Production-Ready LLM Agent SDK for Every Developer.
Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.
Engage with relevant posts, get your posts highlighted for engagement, and distribute them to your audience.
A platform for reproducible and scalable machine learning and deep learning on kubernetes.