We automatically trade options via some simple algorithms and it's only applicable for Charles Schwab Accounts.

PyTorch version of Spotify's Basic Pitch

MR-MT3: Memory Retaining Multi-Track Music Transcription to Mitigate Instrument Leakage

Python sync/async framework for Interactive Brokers API

A python packaged used to interact with the Interactive Brokers REST API.

Let us control diffusion models!

CUDA-accelerated PyTorch implementation of t-SNE

BAD-VAE: A VAE framework for unsupervised disentanglement of sequential data

An invertible and differentiable implementation of the Constant-Q Transform (CQT).

Pytorch implementation of automatic music transcription method that uses a two-level hierarchical frequency-time Transformer architecture (hFT-Transformer).

Pytorch implementation of the invertible CQT based on Non-stationary Gabor filters

A simple cross attention that updates both the source and target in one step

A multi-voice TTS system trained with an emphasis on quality

My attempts at applying Soundstream design on learned tokenization of text and then applying hierarchical attention to text generation

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

Vector (and Scalar) Quantization, in Pytorch

A simple tutorial of Variational AutoEncoders with Pytorch

Source Separation training codebase for the Sound Demixing Challenge 2023.

PyTorch implementation of DiffRoll, a diffusion-based generative automatic music transcription (AMT) model

The purpose of this repository is to keep an archive of all of the scenes that have been obtained by the Destination Home Team. This includes public, private, and development scenes from all region…

Understanding Audio Features via Trainable Basis Functions

A PyTorch Implementation of Focal Loss.

MT3: Multi-Task Multitrack Music Transcription

Latte: Cross-framework Python Package for Evaluation of Latent-based Generative Models

PyTorch implementation of the NSGT/sliCQT

Painless Wiener filters for audio separation