How to Build Optimal AI Agents That Actually Work supports AI agents, automated workflows, orchestration, or delegated tasks.
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Library for hyperparameter optimization and black box optimization benchmarks.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
LLM Optimizer applies AI to data analysis, extraction, visualization, or business intelligence.
Global, black box optimization engine for real world metric optimization by Yelp.
Optunity supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Packrift optimization benchmark corpus generated from the top-1000 exact-spec feed, with public quality ledgers and operational benchmark pages.
Write SEO-optimized blog posts and articles using AI. Generate outlines, add keywords, and create content quickly with NetusAI’s AI article generator.
Diffusers Image Outpaint creates or edits images with generative AI and text-based controls.
How to Evaluate Large Language Model Outputs: Current Practices FinetuneDB provides machine-learning models, research, training resources, or…
OutfitAnyone - a Hugging Face Space by HumanAIGC creates or edits images with generative AI and text-based controls.
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.
Automated optimization engine for improving agent workflows using feedback-driven iterative refinements.
Create professional marketing images with AI - optimized for content creators and marketers!
Automatic architecture search and hyperparameter optimization for PyTorch.
Optimized Stable Diffusion modified to run on lower GPU VRAM.
A simple, but essential Bayesian optimization package, written in Python.
An easy-to-use feature store. Optimized for time-series data.
Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.
Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
Codeflash uses AI to automatically find the most optimized version of your Python code through benchmarking — while verifying it's correct.
Deep learning optimization library that makes distributed training easy, efficient, and effective.
Python library for scalable Bayesian optimisation.
An evolutionary optimization library.