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State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
The state-of-the-art image restoration model without nonlinear activation functions.
List of Computer Science courses with video lectures.
ExpansionNet v2 model trained on the COCO dataset with captions translated into Kazakh
Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.
Latex code for making neural networks diagrams
Easiest Way to Fine Tune a ViT using Hugginface
Contextual Attention Network: Transformer Meets U-Net
The mitosheet package, trymito.io, and other public Mito code.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Python library for converting Python calculations into rendered latex.
A general purpose recommender metrics library for fair evaluation.
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
Different meta-heuristic optimization techniques for feature selection
Keras implementations of Generative Adversarial Networks.
A one-stop repository for low-code easily-installable object detection pipelines.
EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.
A Flutter plugin to access TensorFlow Lite apis.
A Deep Learning based project for colorizing and restoring old images (and video!)
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
SegSort: Segmentation by Discriminative Sorting of Segments