993 Open source projects that are alternatives of or similar to Minisom

Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course

OCR engine for all the languages

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

Natural Language Processing for Lithuanian language

Open-source distributed computation and storage platform

[ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair

Python implementation of soft-DTW.

MongoDB sharded cluster

Training neural models with structured signals.

An experimental cluster brings Prometheus and OpenStack together

Segmentation models with pretrained backbones. PyTorch.

A polylinear timeline with clustering, centred on interactions. — Doc and demo https://octree-gva.github.io/Zeitline/

React Native map clustering both for Android and iOS.

A JavaScript library to allocate and optimize financial portfolios.

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

IMPLEMENT AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

A lean C++ library for working with point cloud data

Proto-RL: Reinforcement Learning with Prototypical Representations

Implementing machine learning algorithms from scratch.

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

💫 Industrial-strength Natural Language Processing (NLP) in Python

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

FedGroup, A Clustered Federated Learning framework based on Tensorflow

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Vectorized Machine Learning in Python 🐍 From Scratch

DEPRECATED: Depth Map Estimation from Monocular Images

Unsupervised Representation Learning for Singing Voice Separation

Versatile open-source tool for microbiome analysis

Urbica React Cluster Component for Mapbox GL JS

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

Tensorflow implementation of "Deep Multimodal Subspace Clustering Networks"

Visualization toolkit for neural networks in PyTorch! Demo -->

A python package to assess cluster tendency

和（he for objective-c） —— “信息熵减机系统”

SSH distribution for erlang

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.

Code for CVPR'19 paper Linkage-based Face Clustering via GCN

Code repository for paper `Skeleton Merger: an Unsupervised Aligned Keypoint Detector`.

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Consul - based cluster manager that can be plugged into Vert.x ecosystem.

High-quality implementations of standard and SOTA methods on a variety of tasks.

pyMCR: Multivariate Curve Resolution for Python

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Convolutional AutoEncoder application on MRI images

🆔 A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

ELKI Data Mining Toolkit

Time series distances: Dynamic Time Warping (DTW)

Run TensorFlow models in C++ without installation and without Bazel

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

Chainer implementation of deep-INFOMAX

How to use TensorLayer

A Data Clinic project that aggregates NYC Open Data at the tract-level and uses Machine Learning techniques to re-imagine neighborhood boundaries.

Model for learning document embeddings along with their uncertainties

darknet neural network addon for openFrameworks

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation