joliGEN
nni
Our great sponsors
| joliGEN | nni | |
|---|---|---|
| 4 | 5 | |
| 198 | 13,742 | |
| 6.1% | 1.0% | |
| 9.4 | 6.7 | |
| 2 days ago | about 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
joliGEN
-
[D] Question about using diffusion to denoise images
Absolutely, I do second this, Palette is what you are looking for. We have a modified version in JoliGAN, with PR for various conditioning, including masks and sketches, cf https://github.com/jolibrain/joliGAN/pull/339
-
[D] Is the GAN architecture currently old-fashioned?
We use https://github.com/jolibrain/joliGAN which is a lib for image2image with additional "semantic" constraints. I.e. when there's a need to conserve labels, physics, anything between the two domains. This lib aggregates and improves on existing works.
-
[P] Real-time AR for jewelry virtual try on that looks real, done with joliGAN, based on a few 2D videos and no 3D model
We thought we'd share some technical details since the underlying code, JoliGAN is Open Source, https://github.com/jolibrain/joliGAN
-
[D] Augmentation in GAN
Look at DiffAug, deceive, and such. It's all implemented into Joligan, https://github.com/jolibrain/joliGAN We're able to train with small datasets, though not always optimally. With large datasets results are outstanding.
nni
- Filter Pruning for PyTorch
-
Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI
For a complete tutorial, navigate to this Jupyter Notebook: https://github.com/microsoft/nni/blob/master/examples/notebooks/tabular_data_classification_in_AML.ipynb
-
[D] Efficient ways of choosing number of layers/neurons in a neural network
optuna, hyperopt, nni, plenty of less-known tools too.
-
Top 10 Developer Trends, Sun Oct 18 2020
microsoft / nni
What are some alternatives?
hifigan-denoiser - HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
optuna - A hyperparameter optimization framework
PassGAN - A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
cycle-gan-pytorch - This repository contains an implementation of the Cylce-GAN architecture for style transfer along with instructions to train on an own dataset.
autogluon - Fast and Accurate ML in 3 Lines of Code
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python
style-aware-discriminator - CVPR 2022 - Official PyTorch implementation of "A Style-Aware Discriminator for Controllable Image Translation"
archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.