Apache OpenNLP is a machine learning based toolkit for the processing of natural language text.
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A Python-inspired implementation of the Optimum-Path Forest classifier.
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Our Vision for the Future of Synthetic Media by Victor Riparbelli Medium provides machine-learning models, research, training resources, or…
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Machine Learning Framework from Industrial Practice.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A complete object-oriented environment for machine learning in Matlab.
Patterns for Building LLM-based Systems & Products provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
Enables single machine or distributed training and evaluation of deep learning models.
Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.
Phrasly AI provides machine-learning models, research, training resources, or evaluation tools.
A JavaScript application framework for machine learning and its engineering.
Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
Poolside AI provides machine-learning models, research, training resources, or evaluation tools.
Practical Tips for Finetuning LLMs Using LoRA (Low-Rank Adaptation) provides machine-learning models, research, training resources, or evaluation…
A library for machine learning that builds predictions using a linear regression.