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Architectures
Attention
Concept
CVPR 24
Data Augementation
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Detection Transformer
Diffusion Detection
DL Model
Interview
LLM
Loss Functions - Computer Vision
Mamba
Metrics
MoA
Object Detection
Paper Page Template
Pytorch
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Segmentation
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You like pytorch? You like micrograd? You love tinygrad! ❤️
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
🐍 Geometric Computer Vision Library for Spatial AI
Most popular metrics used to evaluate object detection algorithms.
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
news-please - an integrated web crawler and information extractor for news that just works
A python library and collection of notebooks for making art with machine learning.
A standard framework for modelling Deep Learning Models for tabular data
A neural network trained to help writing neural network code using autocomplete
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding b…
VGGFace implementation with Keras Framework
Official PyTorch implementation of Revisiting Image Pyramid Structure for High Resolution Salient Object Detection (ACCV 2022)
Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.
A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.
Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory wh…
SqueezeNet implementation with Keras Framework
A high-level programming language for using computer vision.
Deep learning models to identify clickbaits taking content into consideration
A very simple project to create a rest backend for serving a neural network model based on keras
A deep learning powered bot capable of classifying images into user-specified categories
This is an implimentation of Value Iteration Networks (NIPS2016 best paper) in keras