692 Open source projects that are alternatives of or similar to Milano

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Tensorflow Implementation of Yahoo's Open NSFW Model

The implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

PyTorch implementation of LeNet-5 with live visualization

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Luminaire is a python package that provides ML driven solutions for monitoring time series data.

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

Fast and flexible AutoML with learning guarantees.

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Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

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Simple, but essential Bayesian optimization package

Code for reproducing Manifold Mixup results (ICML 2019)

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

R Interface to Open Neural Network Exchange (ONNX)

A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images

PyTorch implementation of PNASNet-5 on ImageNet

AutoML library for deep learning

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Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

YOLO for object detection tasks

The Official Deep Learning Framework for Route-based Place Recognition

A curated list of awesome deep vision web demo

Programmable Neural Network Compression

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

The code for the MaD TwinNet. Demo page:

Implementation of Papers on Adversarial Examples

Awesome artificial intelligence in cancer diagnostics and oncology

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.

Mapping a variable-length sentence to a fixed-length vector using BERT model

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

Transfer learning for time series classification

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

Semantic Scene Completion

DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659

Official Implementation of 'Fast AutoAugment' in PyTorch.

Unwrapping Black Box of ReLU DNNs

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

Deep Neural Network for Sentiment Analysis on Twitter

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Service Classification based on Service Description

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

convolutional lstm implementation in pytorch

Lightwood is Legos for Machine Learning.

Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017

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PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Pytorch implementation of the DeepDream computer vision algorithm

IEEE "Invited Talk on Deep Learning" 03/02/2018