An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
Directory
Models & Machine Learning
Models and machine learning covers model hubs, research papers, training guides and evaluation tools. The topic mixes practical resources with reference material, so you will find repositories that host downloadable models next to sites that explain how a technique works. Some entries are collections of papers or benchmarks, and others are tutorials that walk through fine-tuning or deployment. It pays to compare the model licence, the training data, the hardware needed and the date of the last update. The field moves quickly, so verify version notes on the source before you build on anything listed here.
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.
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…
Risks and mitigations for developing and deploying generative AI applications.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
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.
Persuva is the AI-driven platform to create persuasive, high-converting ad copy at scale.