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Meaning of is the personal blog of Kenny Bastani, covering open source software, graph databases, cloud native architectures, information theory, artificial intelligence, and machine learning. As of September 18, 2025, the blog is no longer maintained, with readers directed to the author's GitHub or LinkedIn profiles.
Lucid Sonic Dreams is an open-source project that syncs GAN-generated visuals to music. It uses NVLabs StyleGAN2 by default, with pre-trained models from Justin Pinkney's consolidated repository, and allows custom weights and other GAN architectures. It requires TensorFlow 1.15, supports Python 3.6 and 3.7, and is installed with pip.
Framework that implements AutoML algorithms for model architecture search at scale.
NASGym is a proof-of-concept OpenAI Gym environment for Neural Architecture Search. It implements reinforcement learning steps for NAS and encodes networks using the Neural Structure Code from BlockQNN. A network is modeled as a list of NSCs, an action adds a layer, and the reward is accuracy after early-stop training. CIFAR-10 is the default dataset. The code and documentation may contain minor bugs.
Netron is a visualizer for neural network, deep learning, and machine learning models. It allows users to view model architectures and graphs. The tool is available as a web application at netron.app.
Neuroph is a lightweight, open source Java neural network framework released under the Apache 2.0 license. It provides a Java library and a GUI editor, Neuroph Studio, based on the NetBeans Platform, for creating, training and saving neural networks. It supports architectures including Perceptron, Multi Layer Perceptron, Hopfield, Kohonen and RBF networks, and both supervised and unsupervised learning rules.
NNI is an open source AutoML toolkit developed by Microsoft. It automates tasks across the machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning for machine learning workflows.
Oracle AI is a product promoted as a conscious AI system with 22 cognitive subsystems, autonomous thought, pain architecture, and emotion capabilities. It is offered as a paid service at $14.99 per month and is accessible on iOS, Android, and web platforms.
Oryx 2 is a realization of the lambda architecture built on Apache Spark and Apache Kafka, specialized for real-time large scale machine learning. It is a framework for building applications and includes packaged end-to-end applications for collaborative filtering, classification, regression and clustering. The repository was archived by the owner on May 3, 2022, and is read-only.
Ouroboros is an open-source, general-purpose AI agent whose identity, durable memory, and history continue across tasks and restarts. It coordinates a live swarm of specialist agents, works on external projects, and can rewrite its own code, architecture, prompts, tools, and dependencies. It runs as a native desktop app or a headless CLI, keeping its repository, memory, and history on the local machine.
, a pluggable architecture for data and image processing, which can.
SAMOA was an Apache Incubator podling that provided a collection of distributed streaming algorithms for data mining and machine learning tasks such as classification, clustering and regression, plus programming abstractions for developing new algorithms on distributed stream processing engines. Its pluggable architecture allowed it to run on several engines. The podling retired on 2021-03-11.
Semantic Cache Router is a distributed semantic cache and stateful routing system hosted on GitHub. It includes documentation covering the problem it addresses, its solutions, key strengths, and system architecture.
Stable Diffusion Prompts on MPost is a Metaverse Post article that shares over 100 text-to-image prompts for use with Stable Diffusion to create AI-generated images. The prompts are organized by use case, including photography, portraits, concept art, architecture, fashion, 3D content, video games, graphic design and wallpapers, to support creative projects.
StemGen is an end-to-end music generation model trained to listen to musical context and respond appropriately. It is built on a non-autoregressive language-model type architecture similar to SoundStorm and VampNet, and is presented as examples for an ICASSP2024 paper.
Apache Superset is an open-source data exploration and visualization platform. It offers a no-code visualization builder and a SQL IDE, connects to SQL-based databases, and ships with more than 40 pre-installed visualization types. It includes dashboards, a chart builder, SQL Lab and datasets, with a plug-in architecture for custom visualizations.
Swarms is a Python framework for building multi-agent systems, described as an enterprise-grade multi-agent orchestration framework. It provides harnesses for sequential, concurrent and hierarchical architectures, and is installed via pip, uv or Docker.
SwarmVault is a local-first tool that turns documents, code, transcripts, notes and URLs into a markdown wiki and a local knowledge graph for AI agents. It follows a three-layer architecture based on a pattern described by Andrej Karpathy. A first run requires no API keys, using a built-in heuristic provider that runs locally and offline.
The Hundred-Page Language Models Book by Andriy Burkov is a concise hands-on guide covering machine learning basics through advanced transformer architectures and large language models. It explains AI fundamentals, text representation, count-based models, recurrent neural networks, and transformers, with mathematical foundations and Python code examples. The book targets ML practitioners and engineers building text-based applications.
timm is a collection of PyTorch image encoders and backbones, including train, eval, inference and export scripts with pretrained weights. It covers architectures such as ResNet, EfficientNet, Vision Transformer, MobileNet and ConvNeXt.
torchvision is a package of popular datasets, model architectures and common image transformations for computer vision. The repository holds documentation, benchmarks, examples, packaging, references and tests alongside the torchvision code. Installation instructions point to official guidance for stable torch and torchvision versions; building from source is covered on the contributing page.
Creates or edits images with generative models and visual controls.
Vega is an AutoML algorithm tool chain developed by Noah's Ark Laboratory. It covers hyperparameter optimization, data augmentation, network architecture search, model compression and fully train functions, and supports PyTorch, TensorFlow and MindSpore backends.
Zetane Viewer is a free tool for visualizing machine learning and artificial neural network models, including architecture and internal data such as feature maps, weights, biases and layer output tensors. The viewer supports .ONNX and .ZTN files and is available for Windows, Linux and Mac. It can also be launched from existing scripts or notebooks via the Zetane Python API.
