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

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

[SOTA] [92% acc] 786M-8k-44L-32H multi-instrumental music transformer with true full MIDI instruments range, efficient encoding, octo-velocity and outro tokens

IEEE Transactions on Affective Computing, 2022

ICML 2024, Official Implementation of "Cross-view Masked Diffusion Transformers for Person Image Synthesis."

[ECCV2024] DualDn: Dual-domain Denoising via Differentiable ISP. ⭐😤⭐💀 SOTA model for real-image denoising. 💀 Both in terms of denoising performance and generalization ability.

CAPTCHA project for Machine Learning Course https://arxiv.org/pdf/2006.11373.pdf

Researchers who published code, models (in some cases), and demo apps (in few cases) along with their SOTA paper

Official Repository for different models based on MultiHead VGAEs.

Image-Scene-Classification with 30 different classes.

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

Computer Vision: State of the Art model implementation using PyTorch framework.

Models and examples built with TensorFlow.

ORON is a state-of-the-art Digital Assistant that is backed by Machine-Learning.

Contributions to ML tasks in the form of Tools, Videos , Notebooks, Apps and APIs

Step by step approach to build Convolution Neural Network as per State of the Art Model.

"Plant Disease Identification for Improved Agriculture" presents a curated selection of CNN models, including AlexNet, DenseNet121, and EfficientNetB0, achieving up to 99.94% accuracy in detecting plant diseases through image analysis. This repository demonstrates the power of deep learning combined with ensemble techniques to enhance precision.

State-of-the-art models