mpariente / Ranger-Deep-Learning-Optimizer
Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase
☆10Updated 2 years ago
Related projects: ⓘ
- ☆12Updated this week
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆13Updated 4 years ago
- ☆13Updated this week
- GroupMap: beyond mean and variance matching for deep learning☆10Updated last year
- A library to create and load tfrecord files as tf.data.Dataset☆9Updated 4 months ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 2 years ago
- AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks☆26Updated last year
- ☆10Updated this week
- Experiments and tutorials with and for torchaudio☆12Updated 3 years ago
- Universal Python binding for the LMDB 'Lightning' Database☆12Updated 6 years ago
- ☆21Updated this week
- A Playground for Variational Autoencoders☆12Updated 6 years ago
- Code base for WaveTransformer: A novel architecture for automated audio captioning☆45Updated 3 years ago
- Self-supervised neural network for music recommendations.☆17Updated last year
- Tensorflow 2.x implementation of Gradient Origin Networks☆13Updated 4 years ago
- ☆21Updated 3 years ago
- Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"☆26Updated 4 years ago
- Experimenting with Lapped Transforms Jupyter Notebook☆10Updated 5 years ago
- ☆16Updated 2 years ago
- NEAL (Nature+Energy Audio Labeller) is an open-source interactive audio data annotation tool.☆12Updated 2 weeks ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 4 years ago
- ☆20Updated 5 years ago
- An easy way to start a python programming environment using GitHub Codespaces.☆15Updated 4 years ago
- Unofficial Experiments with AlgebraNets☆17Updated 4 years ago
- Large-Scale Machine and Deep Learning in PyTorch.☆21Updated 2 years ago
- A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.☆15Updated 7 years ago
- Code for the paper: Unified Gradient Reweighting for Model Biasing with Applications to Source Separation☆14Updated 3 years ago
- ☆11Updated 5 years ago
- A tutorial on JAX (https://github.com/google/jax/)☆45Updated 5 years ago
- Researchers who published code, models (in some cases), and demo apps (in few cases) along with their SOTA paper☆10Updated 11 months ago