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Practical course about Large Language Models.
Convert PDF to markdown + JSON quickly with high accuracy
OCR, layout analysis, reading order, table recognition in 90+ languages
Skribify is a powerful transcription and summarization tool that leverages the power of OpenAI's GPT-4 and WhisperAI to generate concise summaries from video or audio content.
A Fast Modular Synthesizer in JAX @ AES'23
Synthesis of MIDI with DDSP (https://midi-ddsp.github.io/)
Parameter inference of music synthesizers to simplify sound design process. Supports Vital.
A diffusion model to colorize black and white images
GraphGen4Code: a toolkit for creating code knowledge graphs based on WALA code analysis and extraction of documentation and forum content.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
General technology for enabling AI capabilities w/ LLMs and MLLMs
An easy-to-use XR engine for building AR and VR applications with C# and OpenXR!
Examples and guides for using the OpenAI API
Desktop system for creators with a focus on simplicity, elegance, and usability. Based on FreeBSD. Less, but better!
Implementation of ConvMixer for "Patches Are All You Need? 🤷"
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Unsupervised text tokenizer for Neural Network-based text generation.
This is an online course where you can learn and master the skill of low-level performance analysis and tuning.
The extension pack so nice they named it twice
A web based code editor on python flask framework.
A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…