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🐍 Towards Mamba State Space Models for Images, Videos and Time Series

Vision Mamba - Like a Vision Transformer but Better

Part 4 - Towards Mamba State Space Models for Images, Videos and Time Series

🐍 Towards Mamba State Space Models for Images, Videos and Time Series

Here Comes Mamba - The Selective State Space Model

Part 3 - Towards Mamba State Space Models for Images, Videos and Time Series

🐍 Towards Mamba State Space Models for Images, Videos and Time Series

Structured State Space Models Visually Explained

Part 2 - Towards Mamba State Space Models for Images, Videos and Time Series

🐍 Towards Mamba State Space Models for Images, Videos and Time Series

Towards Mamba State Space Models for Images, Videos and Time Series

Part 1

🚀 Sascha's Paper Club

The Rise of Diffusion Models - A new Era of Generative Deep Learning

Denoising Diffusion Probabilistic Models by J. Ho et. al.

🚀 Sascha's Paper Club

Depth Anything - A Foundation Model for Monocular Depth Estimation

Depth Anything, Unleashing the Power of Large-Scale Unlabeled Data by L. Yang et. al.

Turn Yourself into a 3D Gaussian Splat

A Hands-on Guide for Practitioners

🚀 Sascha's Paper Club

DINO - A Foundation Model for Computer Vision

Emerging Properties in Self-Supervised Vision Transformers by M. Caron et. al.

🚀 Sascha's Paper Club

Segment Anything - Promptable Segmentation of Arbitrary Objects

Segment Anything by A. Krillov et. al.

🚀 Sascha's Paper Club

BYOL -The Alternative to Contrastive Self-Supervised Learning

Bootstrap Your Own Latent, A New Approach to Self-Supervised Learning by J. Grill et. al.

🚀 Sascha's Paper Club

GLIP - Introducing Language-Image Pre-Training to Object Detection

Grounded Language-Image Pre-training by L. H. Li et. al.

🚀 Sascha's Paper Club

The CLIP Foundation Model

Learning Transferable Visual Models From Natural Language Supervision by A. Radford et. al.

Implement Multi-GPU Training on a single GPU

An Advanced Guide for TensorFlow

Fourier CNNs with Kernel Sizes of 1024x1024 and Larger

Multi-Dimensional Fourier Transformations in Convolutional Neural Networks

MLP Mixer in a Nutshell

A Resource-Saving and Performance-Competitive Alternative to Vision Transformers

Create your own GPU accelerated Jupyter Notebook Server with Google Colab using Docker

A Step-by-Step Guide

Accelerated Distributed Training with TensorFlow on Google's TPU

Understanding the Hardware to Optimize the Software!

Speed up your Training with Mixed Precision on GPUs and TPUs in TensorFlow

A simple step-by-step Guide