Tyler Vergho's repositories
sentence-transformers-burn
Implementation of sentence embeddings with BERT in Rust, using the Burn library.
audio-generation-playground
Implementation of GANs and audio diffusion models.
perceiver-ar-piano
Implementation of Perceiver AR to train piano continuation models. COSC 89 project.
verbatim-parser
Backend for Logos, a debate search engine.
ai-card-cutting
Automate debate evidence production with GPT-3.
llm-neurips-train
5th place submission to the 2023 NeurIPS LLM Efficiency Challenge.
musical-masterpiece
Translate your drawings into music!
tvergho.me
Personal website.
a-unet
A toolbox that provides hackable building blocks for generic 1D/2D/3D UNets, in PyTorch.
audio-diffusion-pytorch
Audio generation using diffusion models, in PyTorch.
audio-encoders-pytorch
A collection of audio autoencoders, in PyTorch.
audiocraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
burn
Burn - A Flexible and Comprehensive Deep Learning Framework in Rust
CNNDetection
Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
lit-gpt
Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
mirrorful
Create the building blocks of your app
muse-maskgit-pytorch
Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch
nchtr-io
No clue how to respond – the website. Crowdsourced text message responses.
nerdom-client
Check it out at http://nerdom.surge.sh/ (you'll have to wait for Heroku to wake up).
nerdom-server
API deployed at:
RAVE
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.