The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Chronos: Pretrained Models for Time Series Forecasting

A two-spread digital e-guide preview — page 1 is a cover (display title, author, "What's inside" stats, table of contents teaser); page 2 is a spread (lesson body with pull-quote and a step list). Lifestyle / creator brand tone. Use when the brief asks for an "e-guide", "digital guide", "lookbook", "lead magnet", "creator guide", "playbook", "PDF guide", or "电子指南".

Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Create, edit, or fix Lottie/Bodymovin JSON animations for the local Skia Skottie player. Use for text-to-Lottie, SVG/logo/type animation, loaders/icons, state feedback, UI microinteractions, lower thirds, diagrams, data/stat/chart animations, product promos, scene/camera motion, visual effects, scene edits, slots/controls, and Skottie debugging.

[ACL 2024 🔥] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final dstack service with a model request.

Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.

Allosaurus is a pretrained universal phone recognizer for more than 2000 languages

Pretrained TorchVision models on CIFAR10 dataset (with weights)