1730 Open source projects that are alternatives of or similar to Gd Uap

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

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Sandbox for training deep learning networks

All-in-one Toolbox for Computer Vision Research.

A bare-bones Python library for quality diversity optimization.

AI and machine leaning-based computer vision for a robot

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A Python toolbox for computer vision research and project

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Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Jenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

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Link Discovery Framework for Metric Spaces.

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

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[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Resurces for MRI images processing and deep learning in 3D

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

Image Test Time Augmentation with PyTorch!

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

deep learning for image processing including classification and object-detection etc.

PyTorch Implementation of Stacked U-Nets (SUNets)

Multi-class confusion matrix library in Python

PHP-ML - Machine Learning library for PHP

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

Grid-GCN for Fast and Scalable Point Cloud Learning

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

A high-level machine learning and deep learning library for the PHP language.

A package built on top of Hugging Face's transformer library that makes it easy to utilize state-of-the-art NLP models

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

基于Tensorflow2开发的优秀扩展包及项目

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

OpenMMLab Model Compression Toolbox and Benchmark.

🧠 AI powered image tagger backed by DeepDetect

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

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

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

High-performance Vision library in Python. Scale your research, not boilerplate.

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization techniques.

🎯 A comprehensive gradient-free optimization framework written in Python

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Collections of model quantization algorithms

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A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

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All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Unsupervised ML algorithm for predictive modeling and time-series analysis