248 Open source projects that are alternatives of or similar to alexnet-architecture.tensorflow

Parametric Contrastive Learning (ICCV2021)

custom implementation alexnet with tensorflow

记录每一个常用的深度模型结构的特点（图和代码）

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

Train faster rcnn on imagine dataset, related blog post: https://andrewliao11.github.io/object/detection/2016/07/23/detection/

Classification of Breast Cancer diagnosis Using Support Vector Machines

Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

🤖 Cozmo the Robot recognizes objects with TensorFlow

Bottleneck Transformers for Visual Recognition

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

A toy project for visual search, based on deep learning.

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

AlexNet model from ILSVRC 2012

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

Easily train or fine-tune SOTA computer vision models with one open source training library

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

An Interactive Approach to Understanding Supervised Learning Algorithms

My main Machine Learning class

Using supervised machine learning to build collective variables for accelerated sampling

To identify the driver's drowsiness based on real-time camera image and image processing techniques. 졸음운전 감지 시스템. OpenCV

No description or website provided.

EfficientNetV2 implementation using PyTorch

tensorflow_alexnet_classify (details http://www.cnblogs.com/vipyoumay/p/7686230.html)

用python做计算机视觉，人工智能，机器学习，深度学习等

73.6% GhostNet 1.0x pre-trained model on ImageNet

Etiketai is an online tool designed to label images, useful for training AI models

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

Semestral project for the subject Methods of computational inteligence @ fit.cvut.cz

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

Xception implemented with caffe

benchmarking miopen

keras project for audio deep learning

Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

Interactive Image similarity and Visual Search and Retrieval application

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

Heart Disease prediction using 5 algorithms

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

实现遇到的分类网络（持续更新）

Crossmodal Supervised Learning Toolkit using High-Performance Extreme Learning Machines over the audio-visual-textual data

Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

PyTorch implementation of EfficientNetV2 family

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Free Resources For Data Science created by Shubham Kumar

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

ImageNet model implemented using the Keras Functional API

Pytorch Implementation of AlexNet

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Scripts to work with LMDB + PyTorch for Imagenet training

AU_Recognition based on CKPlus/CK database

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Training Low-bits DNNs with Stochastic Quantization

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images