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Open-source project that uses AI to create, edit, transform, or animate video content.
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research.runwayml.com
Gen-2 by Runway uses AI to create, edit, transform, or animate video content.
Creates, rewrites or summarizes written content with language models.
replit.com
Ghostwriter is a Replit feature that adds machine-learning tools to the integrated development environment. It offers an ML-powered pair programmer that completes code in realtime, tools to generate, transform and explain code, and an in-editor search utility for finding and importing open-source code. Its flagship feature, Complete Code, was in closed beta at the time of the announcement.
glitchai.com
GlitchAI uses AI to create, edit, transform, or animate video content.
labs.google
Google Flow uses AI to create, edit, transform, or animate video content.
huggingface.co
A collaboration platform where the machine learning community shares models, datasets and applications. It hosts public models, datasets and Spaces, and offers an open source stack including libraries such as Transformers, Datasets and Accelerate. It also provides paid Compute and Enterprise solutions, with an Inference Providers API giving access to models from multiple AI providers.
huggingface.co
A free LLM course from Hugging Face that teaches large language models and natural language processing. It covers the Transformers, Datasets, Tokenizers, and Accelerate libraries and the Hugging Face Hub, along with some libraries outside the ecosystem. The course is without ads.
imagen.research.google
Imagen is a text-to-image diffusion model from Google Research's Brain Team that creates photorealistic images from input text. It builds on large transformer language models for text understanding and cascaded diffusion models for image generation. The project also introduced DrawBench, a benchmark for comparing text-to-image models.
jinglescode.github.io
Hong Jing (Jingles) is a data scientist and Alibaba PhD student who writes about machine learning and neuroscience. The site collects blog articles on topics such as reinforcement learning agents, learned optimizers, convolutional layers, transformer models and decoding brain signals.
github.com
A course on generative modelling, currently unfinished, with the first approximately five lessons mostly done. It covers topics such as PyTorch basics, representations, CLIP, GANs, sequence modelling and transformers. No prior deep learning knowledge is assumed, though comfort with some Python and Jupyter Notebooks is expected.
klipy.com
Klipy uses AI to create, edit, transform, or animate video content.
knime.com
KNIME Analytics Platform is free and open source data analytics software with a visual workflow builder for creating data science solutions. The page lists access, blending and transformation of data from any source, visualization and analysis, and saving, sharing and reuse of workflows. It also describes integrating scripting in Python, R and JavaScript and deploying solutions in the enterprise.
laion.ai
LAION, the Large-scale Artificial Intelligence Open Network, is a non-profit organization that provides datasets, tools and models to support open machine learning research. Its offerings include the LAION-400M dataset of 400 million English image-text pairs, LAION-5B of 5.85 billion multilingual CLIP-filtered pairs, and the CLIP H/14 vision transformer model.
learnjsdata.com
A guide that introduces data processing and cleaning in JavaScript, teaching how to load, modify and transform data using JavaScript libraries. It covers tasks geared around preparing data for further analysis and visualization, demonstrated with core JavaScript API, d3.js and lodash. It assumes some basic knowledge of JavaScript.
lmql.ai
LMQL is a programming language for interacting with large language models, using types, templates, constraints and an optimizing runtime. Prompt statements have associated where clauses that specify logical constraints on output, which LMQL translates to subtoken masks enforced during generation. It works across llama.cpp, OpenAI and Transformers backends and supports nested queries.
huggingface.co
Image-to-Video Conversion: Transform static images into dynamic, realistic videos.
github.com
m2cgen is a tool that transforms trained machine learning models into native code across a wide range of programming languages including Java, C, Python, Go, JavaScript, C#, R, PHP, Dart, Haskell, Ruby, F#, and Rust, with zero dependencies. Its codebase is hosted in the BayesWitnesses GitHub repository, which includes navigation for installation, development guidance, supported languages, and supported model types.
makeayo.com
Makeayo is a desktop application for generative art, offering base selection, prompt-based image generation, image transformation, HD upscaling, pose matching and access to many models. It supports Windows 10 and 11, with Mac and Linux versions described as coming soon. The site states a free tier and paid monthly founder, basic, pro and max plans.
github.com
Mamba-Chat is a chat language model built on a state-space model architecture rather than a transformer. The repository provides training and fine-tuning code based on a modified Huggingface Trainer class. The model is based on Mamba-2.8B and was fine-tuned on 16,000 samples of the HuggingFaceH4/ultrachat_200k dataset. Code is provided for testing and fine-tuning, including a command-line chatbot and a Gradio app.
github.com
ML.NET is an open source, cross-platform machine learning framework for .NET. It lets developers build, train, deploy and consume custom models in .NET applications, with data loading from files and databases, data transformations and many ML algorithms. Models can be trained for scenarios such as classification, forecasting and anomaly detection, and TensorFlow and ONNX models can be consumed within the framework.
github.com
GALACTICA is a general-purpose scientific language model trained on scientific text and data. This repository provides a Model API for GALACTICA, installable from pip or the repository, with five model sizes. The models can be used with the transformers library. It is a stand-alone model that is not instruction tuned, so correct prompts are needed for good results.
muse-model.github.io
Muse is a text-to-image Transformer model that generates images from text prompts and supports image editing, including inpainting, outpainting and mask-free editing, without fine-tuning or inverting the model. It is trained on a masked modeling task in discrete token space using text embeddings from a pre-trained language model.
github.com
MusicGen is a single-stage auto-regressive Transformer model for music generation trained over a 32kHz EnCodec tokenizer with four codebooks, part of the AudioCraft library. It supports text-to-music and text-plus-melody-to-music models ranging from 300M to 3.3B parameters. Running it locally requires a GPU, with at least 16 GB of memory recommended for medium-sized models.