569 Open source projects that are alternatives of or similar to FineGrainedVisualRecognition

基于Tensorflow2开发的优秀扩展包及项目

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

Balanced Multiclass Image Classification with TensorFlow on Python.

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

How to use TensorLayer

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow

Tensor Flow implementation for Android

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

Age + Gender Estimation on Android with TensorFlow Lite

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

A Hidden Markov Model implemented in Javascript

PyTorch to Keras model convertor

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

The official SNOMED CT OWL Toolkit. OWL conversion, classification and authoring support.

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

A Virtual Assistant for Windows PC with wicked Qt Graphics.

#NVJOB Simple Boids (Flocks of Birds, Fish and Insects). Flocking Simulation. Free Unity Asset.

Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.

My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning

An open-source semi-automated processing chain for urban OBIA classification.

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

Multi-class classification with focal loss for imbalanced datasets

Resurces for MRI images processing and deep learning in 3D

Learning about Haskell with Variational Autoencoders

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

HTTP service for Tensorflow images classification model

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

A Go library for talking to cars over OBD-II

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

Recognizing and localizing melanoma from other skin disease

Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.

Deploy transformers serverless on AWS Lambda

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data

Focal Loss of multi-classification in tensorflow

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

Extremely simple and fast extreme multi-class and multi-label classifiers.

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

XED multilingual emotion datasets

Utility package for working with classification targets and label-encodings

Python Machine Learning Algorithms

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

A few TensorFlow techniques I'm saving for future reference.

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

R package to Embed All the Things! using StarSpace

An implementation of multivariate projection pursuit regression and univariate classification

Unofficial Stanford's CS229 Machine Learning Problem Solutions (summer edition 2019, 2020).

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".