Beast code in Giters

victorca25's repositories

traiNNer

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

Language:PythonApache-2.0279 13 36

iNNfer

Simple inference codes for Neural Network (AI) models

Language:PythonMIT33 5 4

augmennt

Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.

Language:PythonMIT2300

pth-reader

A simple ESRGAN model reader

Language:PythonApache-2.02 10

This version of Stable Diffusion features a slick WebGUI, an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, and multiple features and other enhancements. For more info, see the website link below.

Language:Jupyter NotebookMIT100

machine-learning-scripts

Collection of scripts and tools related to machine learning

Language:Jupyter Notebook100

pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

Language:PythonNOASSERTION100

AutoGBT

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.

Language:PythonNOASSERTION000

confluent-kubernetes-examples

Example scenario workflows for Confluent for Kubernetes

Language:ShellApache-2.0000

Deep-Image-Prior_TF-practice

my TensorFlow practice of "Deep Image Prior"

Language:Jupyter NotebookMIT000

image-super-resolution

Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Language:Jupyter NotebookApache-2.0000

Indian-village

Replication study of Networks in the Understanding of Economic Behaviors by Matthew Jackson in the Journal of Economic Perspectives—Volume 28, Number 4—Fall 2014—Pages 3–22

Language:Jupyter Notebook000