pushparajamurugan Goto Github PK

ai-collection

The Generative AI Landscape - A Collection of Awesome Generative AI Applications

airdisval

audio-ai-timeline

A timeline of the latest AI models for audio generation, starting in 2023!

audioldm

Text-to-Audio Generation with Latent Diffusion Models

awesome-deep-learning-papers

The most cited deep learning papers

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-of-long-tailed-recognition

A curated list of long-tailed recognition resources.

awesome-totally-open-chatgpt

A list of totally open alternatives to ChatGPT

blended-latent-diffusion

Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

building-recommender-systems-with-machine-learning-and-ai

Building Recommender Systems with Machine Learning and AI, published by Packt

byol-pytorch

PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP

byol-pytorch-1

PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

cleanlab

The standard package for machine learning with noisy labels and finding mislabeled data in Python.

controlnet

Let us control diffusion models

custom-diffusion

Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion

cydas

Cyclic Differentiable Architecture Search

dada

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

dauphin

An uncertainty-based random sampling algorithm for data augmentation

ddcolor

DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders"

dearpygui

Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

deep-metric-learning-baselines

PyTorch Implementation for Deep Metric Learning Pipelines

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

distributed-pytorch

Distributed, mixed-precision training with PyTorch

dreambooth-stable-diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

dreambooth-stable-diffusion-1

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.

exponential-moving-average-normalization

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.