1211 Open source projects that are alternatives of or similar to well-classified-examples-are-underestimated

Streaming, transforming, SPARQL-based CSV to RDF converter. Apache license.

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

Final Project of the Udacity AI Programming with Python Nanodegree

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper

Python REST API to detect images with adult content

Image classification of wildflowers using deep residual learning and convolutional neural nets

Deep Learning Transformer models in MATLAB

Multi-class classification with focal loss for imbalanced datasets

Text style transfer benchmark

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

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

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.

[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis

Embedding模型代码和学习笔记总结

"A survey of Transformer" paper study 👩🏻‍💻🧑🏻‍💻 KoreaUniv. DSBA Lab

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

Serving TensorFlow models with TensorFlow Serving 📙

Food classification using deep learning

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

Kaggle 2018 @ Human Protein Atlas Image Classification

This project is to use deep learning to auto classify the scene images with limited amount of training images.

A Python toolbox for computer vision research and project

Neutron: A pytorch based implementation of Transformer and its variants.

Rank3 Code for ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, Task 3

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

pix2tex: Using a ViT to convert images of equations into LaTeX code.

No description or website provided.

Data-Driven Neuron Allocation for Scale Aggregation Networks

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

记录一些读过的论文，给出个人对论文的评分情况并简述论文insight

Keras implementation of InceptionV4 Paper

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

Introduction to deep learning with Tensorflow.

Tensorflow2.3的文本分类项目，支持各种分类模型，支持相关tricks。

Tutel MoE: An Optimized Mixture-of-Experts Implementation

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

Papers about explainability of GNNs

A simple image dataset EDA tool (CLI / Code)

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

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

Reference implementations of popular DL models missing from keras-applications & keras-contrib

Automatic License Plate Recognition System for Vietnamese Plates

Using LSTM or Transformer to solve Image Captioning in Pytorch

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

Vision-Language Transformer and Query Generation for Referring Segmentation (ICCV 2021)

Sign Language Translation with Transformers (COLING'2020, ECCV'20 SLRTP Workshop)

Notebooks for Fastai Viusal Guide

Adversarial Attacks on Deep Neural Networks for Time Series Classification

A time series signal analysis and classification framework

A Hidden Markov Model implemented in Javascript

[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

Reimplementing cool papers in PyTorch...

Deep Learning using Rectified Linear Units (ReLU)

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

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