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-train-and-test-the-linear-support-vector-machine-svm-classifier-for-handwritten-digits-recognitio

The objective of this project is to use the SVM classifier to train a simple system for the recognition of handwritten digits (0, 1, …, 9). Use the MNIST database of handwritten digits for testing and training the system which is available on Blackboard-Homepage-Handwritten Digits Dataset. It contains 60k images that are sorted as one vector each with their labels.

a4_data_preparation

a5_spark_word_count

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

anycost-gan

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

ase_scraper

ase_scraping

au-gan

Adverse Weather Image Translation with Asymmetric and Uncertainty aware GAN in BMVC2021

awesome-edge-detection-papers

:books: A collection of edge/contour/boundary detection papers and toolbox.

backgroundremover

BackgroundRemover lets you Remove Background from images and video with a simple command line interface

banana-controlnet

Basic template for using ControNet

barbershop

Barbershop: GAN-based Image Compositing using Segmentation Masks (SIGGRAPH Asia 2021)

bnf

A eBNF (extended Backus-Naur Form) parser.

brushstroke-parameterized-style-transfer

TensorFlow implementation of our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".

cit

The repository offers the official implementation of our paper in PyTorch.

clothing-segmentation

Clothing segmentation with DeepLabV3+

cog-sdxl-controlnet

Attempt at cog wrapper for SDXL Controlnet - Canny

color-transfer-between-images

This is the open-source implement the paper "Color Transfer between Images" by Erik Reinhard, Michael Ashikhmin, Bruce Gooch and Peter Shirley.

color_transfer

Performs color transfer between two images. Loosely based on the "Color Transfer between Images" paper by Reinhard et al., 2001.

colorful-world-pix2pix

Conditional Generative Adversarial Networks for Image Colorization

conditional-gans-cgans

Conditional Generative Adversarial Networks(cgans) to convert text to image implemented in Python and TensorFlow & Keras

conditional_stylegan2_pytorch

conditionalstylegan

Conditional implementation for NVIDIA's StyleGAN architecture

contoso-chat

This sample has the full End2End process of creating RAG application with Prompt Flow and AI Studio. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

coursera-gan-specialization

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

dcton

[CVPR 2021] Disentangled Cycle Consistency for Highly-realistic Virtual Try-On

deep-learning

In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

deepfashion-multimodal

A large-scale high-quality human dataset with rich multi-modal annotations

deepfashion_try_on

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

deepfillv2

The PyTorch implementation of ICCV 2019 oral paper: free-form inpainting (deepfillv2), especially Gated Conv