*CREPE+HYBRID TRAINING* A very experimental fork of the Retrieval-based-Voice-Conversion-WebUI repo that incorporates a variety of other f0 methods, along with a hybrid f0 nanmedian method.

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

An advanced singing voice synthesis system with high fidelity, expressiveness, controllability and flexibility based on DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

Singing Voice Conversion via diffusion model

SoftVC VITS Singing Voice Conversion

so-vits-svc fork with realtime support, improved interface and more features.

Menubar Tool to set Charge Limits and Prolong Battery Lifespan

Denoising Diffusion Implicit Models

Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL

Easy generative modeling in PyTorch

Training MMD GANs.

Creates a .csv file of all players in the English Player League with their respective team and total fantasy points

PyTorch reimplementation of Diffusion Models

High-fidelity performance metrics for generative models in PyTorch

Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.

A dataset of 15 million CAD sketches with geometric constraint graphs.

Manifold-learning flows (ℳ-flows)

A simple shellscript for splitting the PDF of a paper into the main body and an appendix.

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

Flax is a neural network library for JAX that is designed for flexibility.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

🎥 Matplotlib animations made easy

Collection of notebooks about quantitative finance, with interactive python code.

Apps/CLIs/configs I use on macOS/iOS. Fish, Karabiner, Cursor..

Simple transformer implementation from scratch in pytorch.

Machine Learning in Asset Management (by @firmai)

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Machine learning, in numpy