Tag

prompts and images demo of nano banana

Provides readable Python implementations and animated demos of core robotics algorithms (localization, SLAM, mapping, path planning, control). Minimal dependencies and a companion online textbook make it a practical teaching/reference repository for students and researchers.

Generate a lip-synced talking-head video from a single portrait image and an audio clip using learned 3D motion coefficients for realistic expression and head motion. Offers still/reference modes, Colab/HuggingFace demos, and an Apache-2.0 license.

An open-source repository from Stability AI that collects implementations, training configs, demos and inference scripts for multiple generative models (e.g. SDXL, SV3D, SV4D, SV4D 2.0, Stable Video Diffusion). It is modular and config-driven, provides sampling/demo scripts, training examples, and references to model weights on Hugging Face.

Offline desktop image-generation app that runs SDXL locally and minimizes manual tuning by focusing on prompts; ships with GPT‑2-based prompt expansion, custom inpaint/image-prompt handling, and tuned samplers. Requires modest GPU (≈4GB) and is in limited LTS maintenance.

Provides copyable notebooks and recipes demonstrating practical ways to use Claude via the Anthropic API. Includes examples for classification, RAG, summarization, vision, embeddings and third‑party integrations — aimed at developers prototyping Claude-powered assistants.

Browser-based editor for inspecting, editing, optimizing and publishing 3D Gaussian splats. Runs entirely in the browser with live preview, localization support, and export/publishing workflows — no install required, aimed at quick iteration and lightweight delivery.

Provides standalone MLX examples for training, fine-tuning, and inference across text, image, audio and multimodal models. Includes LLM recipes (LLaMA/Mistral), LoRA/QLoRA workflows, Stable Diffusion/SDXL demos, and Whisper/MusicGen audio examples.

Curated developer resources that demonstrate building RAG systems, multi-agent workflows, and memory-augmented AI using Oracle AI Database and OCI — includes end-to-end reference apps, notebooks, guides, and workshops for hands-on prototyping.

Provides a Python inference pipeline and unified API for running AI weather and climate models — load model wrappers (FourCastNet3, GraphCast, AIFS), swap data sources (GFS/IFS/ERA5), and write forecasts to Zarr or serve them via inference utilities.

olmOCR is an open-source toolkit from the Allen Institute for AI (AI2) / AllenNLP team for converting image-based documents (PDF, PNG, JPEG) into clean, readable plain text or Markdown. It uses a 7B-parameter vision-language model to handle complex layouts, equations, tables and handwriting, removes headers/footers, and outputs text in natural reading order. The repo includes a processing pipeline, benchmark suite (olmOCR-Bench), training and RL components, Docker images, and an online demo. Licensed under Apache 2.0.

Generates synchronized audio+video using a DiT-based latent diffusion model for text/image→video, keyframe conditioning, and video extension. Offers distilled/quantized weights, ComfyUI and Diffusers integrations, and online demos—best for users who can meet substantial GPU/VRAM needs.