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Examples and guides for using the OpenAI API
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A multi-voice TTS system trained with an emphasis on quality
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Foundational Models for State-of-the-Art Speech and Text Translation
LAVIS - A One-stop Library for Language-Vision Intelligence
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
A collection of infrastructure and tools for research in neural network interpretability.
Structured state space sequence models
Takagi and Nishimoto, CVPR 2023
A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/
Reads your hand signs and translates them to English words using Tensorflow object detection API
Restoring and attributing ancient texts using deep neural networks
An educational demonstration of breaking the Enigma machine
Want to contribute? These are difficult, long-term projects that could be valuable to open source investigators at Bellingcat and around the world.
The HierText dataset contains ~12k images from the Open Images dataset v6 with large amount of text entities. We provide word, line and paragraph level annotations.
Optical illusions using stable diffusion
A collection of tools for reverse engineering neural networks.
Repository for analysis and experiments in the BigCode project.
With just Llama-2, generate full React codebases from a single prompt
openai / lucid
Forked from tensorflow/lucidA collection of infrastructure and tools for research in neural network interpretability.
ExpansionNet v2 model trained on the COCO dataset with captions translated into Kazakh
Dataset and sample code for the paper "A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software"
A simple speech-to-text example. Visit the blog post below.