Posts

Clean messy real-world text with a composable pipeline covering encoding fixes, Unicode normalization, spell correction, and more.

Generate high-quality paraphrases with T5 and PEGASUS, score them by similarity, and batch process text

Score any text with multiple readability indices and serve results through a FastAPI endpoint you can deploy today.

Ship a production-ready text similarity endpoint using cross-encoders that outperform cosine similarity

Rewrite text across styles — formal to casual, technical to simple, passive to active — with working Python pipelines.

Combine extractive summarization with Sumy and abstractive models from Transformers for a hybrid text summarization pipeline

Turn unstructured text into a knowledge graph you can query and visualize with SpaCy and NetworkX

Generate high-quality videos from text prompts using CogVideoX. Includes practical code, VRAM optimization, and batch processing workflows.

Wire up Claude to MCP tool servers and build an agent loop that picks and calls the right tools automatically

Count cars, trucks, and buses crossing a virtual line in video with YOLOv8 and centroid tracking

Build a frame interpolation pipeline that doubles or quadruples video FPS using the RIFE model

Track and remove objects from video frames using segmentation masks and temporal-aware inpainting.

Split videos into individual scenes automatically with PySceneDetect’s content and threshold detectors

Detect people and vehicles, monitor zones, count entries, and generate heatmaps from video feeds with Python

Detect any object in images using text prompts with Grounding DINO and zero training data

Create a production-ready visual inspection pipeline using PatchCore and OpenCV for manufacturing QA

Create a research agent that autonomously searches, reads, and summarizes web content using LLMs and search APIs

Build a wildlife classifier that spots animals in camera trap photos and serves results over HTTP

Create workflow agents with approval gates, feedback collection, and iterative refinement loops

Evaluate your vision models against adversarial perturbations before deployment using the Adversarial Robustness Toolbox

Test your ML models against adversarial inputs, distribution shifts, and edge cases before they fail in production

Route queries to vector, keyword, or SQL retrieval automatically, then let the LLM judge if the context actually answers the question.

Create production-ready AI chat apps with streaming responses, tool calling, and provider switching using the Vercel AI SDK

Generate photorealistic building renders from floor plans and wireframes using ControlNet conditioning in Python

Create custom background music for videos and apps with MusicGen’s text-to-music generation pipeline

Swap garments onto person images with diffusion-based inpainting, DensePose, and warping techniques

Create clean black-and-white coloring pages from AI-generated images using ControlNet and edge detection

Create AI comic strips with consistent characters across panels using diffusers, IP-Adapter, and grid layouts

Create AI-generated fonts and styled lettering using diffusion models and image-to-image pipelines in Python.

Upscale photos, anime art, and faces with Real-ESRGAN and SwinIR models using practical, runnable Python code

Transform room photos into styled interior renders using ControlNet depth conditioning and Stable Diffusion inpainting.

Create clean vector-style logos with SDXL, negative prompts, and refinement techniques in Python

Handle right-to-be-forgotten requests by building model unlearning pipelines with gradient ascent and fine-tuning

Build frame-by-frame animated videos with prompt scheduling, camera motion, and smooth transitions in Python

Create game-ready pixel art with Stable Diffusion by combining pixel art LoRAs with targeted prompts

Create multi-layered AI scenes by generating backgrounds, subjects, and effects as separate layers

Create production-ready seamless repeating patterns with Stable Diffusion for textiles, wallpapers, and game textures

Step-by-step guide to building production-ready AI search apps with Haystack’s component-based pipeline architecture.

Convert hand-drawn sketches into polished AI images using ControlNet’s scribble mode with Stable Diffusion in Python

Create custom sound effects from text prompts using Meta’s AudioGen model in Python

Create character sprites, pose variations, and packed sprite sheets using Stable Diffusion and Pillow

Create production-ready sticker and emoji assets with Stable Diffusion, automatic background removal, and style-consistent prompts

Generate seamless game textures, normal maps, and batch material sets with Stable Diffusion XL and diffusers

Create stunning tiled wallpapers at any resolution using Stable Diffusion with seamless generation

Turn rough sketches into production-ready UI mockups with ControlNet conditioning and SDXL.

Create a summarization pipeline that generates concise summaries from long documents with PEGASUS

Detect failing AI models fast and roll them back automatically before bad predictions reach your users

Create an autonomous API testing agent that writes and runs HTTP tests from natural language specs

Go beyond document-level sentiment and analyze what people think about specific aspects of products

Create a testing agent that generates pytest tests, runs them, and fixes failures automatically with LLM-powered code analysis