facebookresearch / dora
Dora is an experiment management framework. It expresses grid searches as pure python files as part of your repo. It identifies experiments with a unique hash signature. Scale up to hundreds of experiments without losing your sanity.
☆282Updated last year
Alternatives and similar repositories for dora:
Users that are interested in dora are comparing it to the libraries listed below
- Framework for writing deep learning training loops. Lightweight, and retaining full freedom to design as you see fits. It handles checkpo…☆110Updated last year
- A library to inspect and extract intermediate layers of PyTorch models.☆473Updated 2 years ago
- ☆236Updated last month
- Configuration classes enabling type-safe PyTorch configuration for Hydra apps☆214Updated 2 years ago
- Fast PyTorch based DSP for audio and 1D signals☆436Updated 2 months ago
- Official PyTorch implementation of Contrastive Learning of Musical Representations☆321Updated 9 months ago
- DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight …☆235Updated last year
- Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research…☆312Updated last week
- A home for audio ML in JAX. Has common features, learnable frontends, pretrained supervised and self-supervised models.☆68Updated 2 years ago
- Implementation of DiffWave and SaShiMi audio generation models☆122Updated 2 years ago
- Audio transformations library for PyTorch☆231Updated 3 years ago
- Implementation of Perceiver AR, Deepmind's new long-context attention network based on Perceiver architecture, in Pytorch☆87Updated 2 years ago
- Named tensors with first-class dimensions for PyTorch☆320Updated last year
- A toolbox that provides hackable building blocks for generic 1D/2D/3D UNets, in PyTorch.☆85Updated last year
- Collection of audio-focused loss functions in PyTorch☆773Updated 8 months ago
- ☆22Updated 6 months ago
- Scalable and Performant Data Loading☆237Updated last week
- A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way☆281Updated last week
- A collection of useful audio datasets and transforms for PyTorch.☆139Updated 2 years ago
- A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to fac…☆229Updated 3 months ago
- BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation☆211Updated 2 years ago
- Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch☆251Updated 2 years ago
- ☆392Updated 3 months ago
- Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory☆435Updated 7 months ago
- ☆161Updated last year
- List of academic resources on Multimodal ML for Music☆295Updated 2 years ago
- LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks…☆507Updated 3 years ago
- ☆347Updated this week
- Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.☆1,032Updated 3 months ago
- ☆164Updated 2 years ago