1233 Open source projects that are alternatives of or similar to Mobilenet V2

Implementation of State-of-the-art Text Classification Models in Pytorch

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Deep-Learning Model Exploration and Development for NLP

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

3D image classification using CNN (Convolutional Neural Network)

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MobileNetV3 in pytorch and ImageNet pretrained models

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

ShuffleNet Implementation in TensorFlow

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all kinds of text classification models and more with deep learning

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Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

RMDL: Random Multimodel Deep Learning for Classification

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

Light-weight Single Person Pose Estimator

food image to recipe with deep convolutional neural networks.

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

Skin cancer classification using Inceptionv3

A Clearer and Simpler MobileNet Implementation in TensorFlow

Object classification with CIFAR-10 using transfer learning

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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

Unofficial PyTorch Reimplementation of RandAugment.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

The Pytorch Implementation of L-Softmax

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

Rinvex Categorizable is a polymorphic Laravel package, for category management. You can categorize any eloquent model with ease, and utilize the power of Nested Sets, and the awesomeness of Sluggable, and Translatable models out of the box.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

DeepLab v3+ model in PyTorch. Support different backbones.

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

LeanCloud Realtime Message JavaScript SDK

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

Build a CNN network to predict 3D bounding box of car from 2D image.

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

HDLTex: Hierarchical Deep Learning for Text Classification

An intuitive library to extract features from time series

Neural networks toolbox focused on medical image analysis

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Aspect Based Sentiment Analysis using End-to-End Memory Networks

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

A high-Performance real-time 2D plotting library based on native WebGL

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Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

Enhance your WordPress content with Artificial Intelligence and Machine Learning services.

Realtime calculation distributed system. AKA distributed lodash

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

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Example applications that use the OpenTok iOS SDK

Serverless discussion forum built with React, Redux and Firebase

BERT distillation（基于BERT的蒸馏实验 ）

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