333 Open source projects that are alternatives of or similar to Lambdanetworks

Utils for fast.ai course

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

An AI based application to identify currency and gives audio feedback.

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

A photo OCR project aims to output DMS messages contained in sign structure images.

Train a TensorFlow model on Kubernetes to recognize art culture based on the collection from the Metropolitan Museum of Art

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

Train the HRNet model on ImageNet

Object Recognition using TensorFlow and Java

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Retrained InceptionV3 image classification model

A tool for quickly training image classifiers in the browser

A simple example on Image Classification in Node.js with TensorFlow.js

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

A treasure chest for image classification powered by PaddlePaddle

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

PyTorch baseline for AI challenger Scene classification

Best Practices, code samples, and documentation for Computer Vision.

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

A collection of computer vision pre-trained models.

Deep Learning Food Classifier for iOS using Keras and Tensorflow

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

TensorFlow Implementation of state-of-the-art models since 2012

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

PyTorch extensions for fast R&D prototyping and Kaggle farming

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

🍊 🎑 Orange3 add-on for dealing with image related tasks

🙄 Difficult algorithm, Simple code.

Implementation of the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels"

TensorFlow ImageNet demo using ROS sensor_msgs/Image

Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

Source code for 'ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection' - Task 3 (Classification)

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Implementation of Quickdraw - an online game developed by Google

Image Tampering Detection using ELA and CNN

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Food Classification with Deep Learning in Keras / Tensorflow

Deep Learning: Image classification, feature visualization and transfer learning with Keras

✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷

Source code of Indian Paper Currency Prediction 🔥

Test Time image Augmentation (TTA) wrapper for Keras model.

Official Implementation of 'Fast AutoAugment' in PyTorch.

This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..