A Python-inspired implementation of the Optimum-Path Forest classifier.
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An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
Google TPU optimizations for transformers models.
Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
Python-based meta-heuristic optimization techniques.
EPUB to audiobook converter, optimized for Audiobookshelf.
"Optimize Your Prompts to Perfection".
A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
File Parser optimised for LLM Ingestion with no loss. Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
Bayesian optimization in high-dimensions via random embedding.
Robust Bayesian Optimization framework.
Simple and efficient library to minimize expensive and noisy black-box functions.
Open-source project that creates or edits images with generative AI and text-based controls.
An Optimized Speech-to-Text Pipeline for the Whisper Model.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Hyperparameter Optimization for TensorFlow, Keras and PyTorch.
Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
TensorZero builds open-source tools for production-grade LLM applications: LLM gateway, observability, optimization, evaluations, and experimentation.
Provides an optimized cloud and edge inferencing solution.
Write SEO-optimized blog posts and articles using AI. Generate outlines, add keywords, and create content quickly with NetusAI’s AI article generator.
Accelerates transcription with the combination of OpenAI's Whisper Large v2, HF Transformers, Optimum, and flash attention.
Minimize LLM token complexity to save API costs and model computations.
Minimalist neural network library optimized for sparse data and single machine environments.