Step by step approach to build Convolution Neural Network as per State of the Art Model.
-
Updated
Oct 29, 2022 - Jupyter Notebook
Step by step approach to build Convolution Neural Network as per State of the Art Model.
State-of-the-art models
ICML 2024, Official Implementation of "Cross-view Masked Diffusion Transformers for Person Image Synthesis."
Models and examples built with TensorFlow.
Contributions to ML tasks in the form of Tools, Videos , Notebooks, Apps and APIs
ORON is a state-of-the-art Digital Assistant that is backed by Machine-Learning.
Computer Vision: State of the Art model implementation using PyTorch framework.
The repository contains the project of Advanced Machine Learning: Visual Geolocalization: mapping images to GPS. It has been forked from the implementation of a SOTA paper. My team pushed it furher
Official Repository for different models based on MultiHead VGAEs.
Image-Scene-Classification with 30 different classes.
Researchers who published code, models (in some cases), and demo apps (in few cases) along with their SOTA paper
CAPTCHA project for Machine Learning Course https://arxiv.org/pdf/2006.11373.pdf
IEEE Transactions on Affective Computing, 2022
[SOTA] [92% acc] 786M-8k-44L-32H multi-instrumental music transformer with true full MIDI instruments range, efficient encoding, octo-velocity and outro tokens
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
Add a description, image, and links to the state-of-the-art-models topic page so that developers can more easily learn about it.
To associate your repository with the state-of-the-art-models topic, visit your repo's landing page and select "manage topics."