Wan AI is an AI creative platform designed to lower the barrier to creative work. It provides features including text-to-image, image-to-image, text-to-video, image-to-video, and image editing. The platform aims to enable users to generate and manipulate visual content using artificial intelligence.
Directory
Search results
Published directory entries matching your search.
Wan is an AI creative platform. It aims to lower the barrier to creative work using artificial intelligence. The site lists features including text-to-image, image-to-image, text-to-video, image-to-video and image editing.
Westworld is a multi-agent simulation library for simulating and optimizing systems with multiple interacting agents. Inspired by Unity and Unity ML Agents and adapted in Python, it provides grid environments, agents, obstacles, collectibles and triggers, spawning, simple pathfinding and wandering behaviors, maze generation and simulation visualization and export. The project is described as extremely experimental and in alpha release.
Specify what you want it to build, the AI asks for clarification, and then builds it.
MaxVideoAI is a pay-as-you-go AI video generator that lets users compare models such as Seedance, Kling, Veo, LTX, Wan and Pika before generating, with pricing shown upfront. An MCP integration connects compatible assistants and automation tools to the models, credits and private media library of a MaxVideoAI account for quotes, approvals and results.
Notebooks is a Docker-based starter kit for machine learning through Jupyter notebooks, intended for users who want a ready runtime environment. Its images cover combinations of Keras, TensorFlow and PyTorch with CUDA v8 through v11, and include JupyterLab, scikit-learn, pandas and visualization, vision and NLP libraries. Python 3 only, as Python 2 is end-of-life.
If you want to find out more about how these models were trained and even fine-tune them yourself, check-out the Parler-TTS repository on GitHub.
A free course for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. It includes 9 lessons of around 90 minutes each, covering computer vision, natural language processing, tabular analysis, and collaborative filtering, plus building and training models, random forests, deployment, and use of PyTorch, fastai and Hugging Face.
RegexAI is a free online tool for testing regular expressions with live matching. It also builds new patterns from plain-English descriptions of what the user wants to match, according to the site. No signup is required.
Open-source project that uses AI to create, edit, transform, or animate video content.
Weights & Biases is an open-source AI developer platform. It is used to train and fine-tune machine learning models, and manage models across the full lifecycle from experimentation to production. The associated wandb library is hosted in a public GitHub repository.
An essay by Arjun Ramani and Zhengdong Wang arguing that transformative AI is hard to achieve, assembling technical, social and economic arguments. It notes that trend growth of GDP per capita in frontier economies has never exceeded three percent per year, and that major technical hurdles remain despite rapid progress in some subfields.