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A personal blog by Alex Smola titled Adventures in Data Land, covering machine learning topics. Entries include efficient LLM inference tutorials, random projections, effective sample size, voice agents and evaluation, and porting MXNet to Blackwell and Apple Silicon. Posts reference events such as the Machine Learning Summer School 2026 in NYC.
AI at Home, also known as Data Science at Home, is a daily technology podcast hosted by Francesco Gadaleta. It discusses AI topics, industry trends, and related issues. Episodes are available on Apple Podcasts and other platforms. The podcast encourages listener engagement via Discord, newsletters, and social media. Recent episodes cover AI slowdown, AI in gaming, and the EU AI Act.
PyTorch Implementation of No Token Left Behind: Explainability-Aided Image Classification and Generation.
Chain of Thought is a podcast hosted by Conor Bronsdon about AI and software infrastructure, featuring conversations with people building AI agents and infrastructure. Guests include people from NVIDIA, Google DeepMind, AMD, Databricks and Vercel. The show has 78 episodes and is available on YouTube, Spotify, Apple Podcasts and RSS.
Endel is a mobile app that provides personalized soundscapes intended to help with focus, relaxation and sleep, backed by neuroscience. The app adapts sounds in real time using inputs such as time of day, weather, heart rate and location. It also offers versions for Apple Watch, Amazon Alexa, TV, desktop and streaming platforms.
LLMKube is a Kubernetes operator for self-hosted large language model inference across heterogeneous GPU fleets supporting NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. It supports runtimes including llama.cpp, vLLM, TGI, and mlx-server, offers multi-GPU sharding, model caching, and OpenAI-compatible endpoints. It is licensed under Apache-2.0 and designed for homelab and on-prem fleet deployment, and is actively developed.
LoLLMs, described as the Lord of Large Language and Multimodal Systems, is a local AI tool for running models. It states full local execution and hardware support for NVIDIA, AMD, Apple Silicon or CPU. It is offered for Windows, Linux and macOS.
MLPNeuralNet is a multilayer perceptron neural network library for iOS and Mac OS X. It predicts new examples through trained neural networks and is built on Apple's Accelerate Framework using vectored operations and hardware acceleration where available. It is designed to load and run models in forward propagation mode only, and supports classification, multi-class classification, and regression output.
MLX is an array framework developed for use on Apple silicon hardware. The project includes example code, quickstart guides, installation instructions, and contribution guidelines. It is hosted as an open source repository on GitHub.
OpenQuack is a menu-bar voice dictation app for macOS. Pressing a hotkey and speaking places the transcript at the cursor. Speech recognition runs locally via WhisperKit on Apple Silicon, with no cloud, account, or signup by default. The project is written in Swift and released under the MIT license.
Rapid-MLX is an open-source, Apache 2.0 licensed large language model inference server and Mac application for Apple Silicon devices. It is compatible with OpenAI and Anthropic APIs, built on the MLX framework, and focused on reliable tool calling for coding agents.
SD.Next is an open-source web interface for generating and editing images and video with diffusion models. It supports text-to-image, image-to-image, text-to-video and image-to-video workflows, and also offers captioning, tagging, upscaling, interpolation and colorization. It runs on NVIDIA, AMD, Intel, Apple Silicon or CPU setups, and includes a queue for scheduling tasks.
The Data Engineering Show is a podcast for data engineering and BI practitioners. It features discussions with tech influencers about practical day-to-day data challenges and solutions. Episodes are available on platforms including Apple Podcasts, Spotify and Pocket Casts.
