visual-recognition
There are 126 repositories under visual-recognition topic.
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
X-PLUG/mPLUG-Owl
mPLUG-Owl: The Powerful Multi-modal Large Language Model Family
NVlabs/MambaVision
Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
NVlabs/FasterViT
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
khanhnamle1994/computer-vision
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
watson-developer-cloud/visual-recognition-coreml
Classify images offline using Watson Visual Recognition and Core ML
NVlabs/FAN
Official PyTorch implementation of Fully Attentional Networks
jariasf/CS231n
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
NVlabs/GCVit
[ICML 2023] Official PyTorch implementation of Global Context Vision Transformers
MahanFathi/CS231
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
reg-viz/reg-cli
đź“· Visual regression test tool.
bourdakos1/Custom-Object-Detection
Custom Object Detection with TensorFlow
mantasu/cs231n
Shortest solutions for CS231n 2021-2024
iduta/iresnet
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
whwu95/GPT4Vis
GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?
YiLunLee/missing_aware_prompts
Multimodal Prompting with Missing Modalities for Visual Recognition, CVPR'23
cris-maillo/yogAI
work in progress
HaozhiQi/ISONet
Deep Isometric Learning for Visual Recognition (ICML 2020)
microsoft/snca.pytorch
Improving Generalization via Scalable Neighborhood Component Analysis
Call-for-Code/DroneAid
Aerial scout for first responders. DroneAid uses machine learning to detect calls for help on the ground placed by those in need.
seloufian/Deep-Learning-Computer-Vision
My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
madalinabuzau/cs231n-convolutional-neural-networks-solutions
Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
ChristophReich1996/Involution
PyTorch reimplementation of the paper "Involution: Inverting the Inherence of Convolution for Visual Recognition" (2D and 3D Involution) [CVPR 2021].
ChenhongyiYang/GPViT
[ICLR 2023 Spotlight] GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
ariG23498/G-SimCLR
This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.
K-RT-Dev/VGT
Program to translate Japanese text through image recognition and GPT 3.5
IBM/watson-calorie-counter
WARNING: This repository is no longer maintained ⚠️ This repository will not be updated. The repository will be kept available in read-only mode. A mobile app that uses Watson Visual Recognition to provide nutritional analysis of captured food images.
israfelsr/CS231n
CS231n Assignments Solutions - Spring 2020
IBM/watson-waste-sorter
Create an iOS phone application that sorts waste into three categories (landfill, recycling, compost) using a Watson Visual Recognition custom classifier
Curt-Park/cs231n_assignments
[Assignments] CS231N: Convolutional Neural Networks for Visual Recognition (2016 & 2017)
bourdakos1/visual-recognition-with-coreml
🕶 Classify images offline using Watson Visual Recognition and Core ML.
ISAC-SIMO/ISAC-SIMO
Build Change - Intelligent Supervision Assistant for Construction - Sistema Inteligente de Monitoreo de Obra. This project is an offshoot of PD3R, runner-up in the CFC 2018 Global Challenge.
santiago-puchginer-snkeos/vr-project
Deep Understanding of Traffic Scenes for Autonomous Driving
Heathcliff-saku/ViewFool_
This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).
OSU-MLB/PETL_Vision
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition
shikishima-TasakiLab/Involution-PyTorch
Unofficial PyTorch reimplemention of the paper "Involution: Inverting the Inherence of Convolution for Visual Recognition" [CVPR 2021].