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Architectures
Attention
Concept
CVPR 24
Data Augementation
Dataset
Detection Transformer
Diffusion Detection
DL Model
Interview
LLM
Loss Functions - Computer Vision
Mamba
Metrics
MoA
Object Detection
Paper Page Template
Pytorch
Quarto
Segmentation
Synthetic Image
System
Tutorial
Vision Frameworks
Visual Attention
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Stars
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
[CVPR 2024] Official implement of <Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation>
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datas…
[WACV 2025] Python implementation of Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation
Simple static web-based mask drawer, supporting semantic segmentation and video segmentation with interactive Segment Anything Model 2 (SAM2).
Replacing Mamba with xLSTM! It works better. We show that xLSTM-Unet can be an effective semantic segmentation backbone.
A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
Flexible Python configuration system. The last one you will ever need.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A python library for self-supervised learning on images.
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
A toolbox for receptive field analysis and visualizing neural network architectures
Diffusion Reading Group at EleutherAI
Resources from the EleutherAI Math Reading Group
CVNets: A library for training computer vision networks
CoreNet: A library for training deep neural networks
[ECCV 2024] Official PyTorch implementation code for realizing the technical part of Mixture of All Intelligence (MoAI) to improve performance of numerous zero-shot vision language tasks.
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
🤩 An AWESOME Curated List of Papers, Workshops, Datasets, and Challenges from CVPR 2024
[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
A general and accurate MACs / FLOPs profiler for PyTorch models
JSeg is a Semantic segmentation toolbox based on MMSegmentation and Jittor