338 Open source projects that are alternatives of or similar to Seal Ci

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

Machine Learning notebooks for refreshing concepts.

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.

Lets Learn AI

machine learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

An extensive machine learning library, made from scratch (Python).

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

A simple machine learning framework written in Swift 🤖

Learning to create Machine Learning Algorithms

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

Machine Learning Concepts with Concepts

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

A simply budget app that predicts where the expenses are being made

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

A high performance implementation of HDBSCAN clustering.

📊 Naive Bayes classifier for JavaScript

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

A PureScript, browser-based implementation of LDA topic modeling.

sources for daal4py - a convenient Python API to oneDAL

The "Python Machine Learning (1st edition)" book code repository and info resource

The deeplearning algorithms implemented by tensorflow

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

🤖 Implements of Reinforcement Learning algorithms.

A fast xgboost feature selection algorithm

Stochastic Delta Rule implemented in Pytorch on DenseNet

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

AIXIjs - General Reinforcement Learning in the Browser

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

A repo with tutorials for algorithms from scratch

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

StellarGraph - Machine Learning on Graphs

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

🤖 Dev tools to reliably understand text and automate conversations. Built-in NLU. Connect & deploy on any messaging channel (Slack, MS Teams, website, Telegram, etc).

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Makine Öğrenmesi Türkçe Kaynak

The repository provides usefull python scripts for ML and data analysis

R package to interface with OpenML

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

A machine learning toolkit dedicated to time-series data

Minimal and clean examples of machine learning algorithms implementations

Machine learning plugins for network traffic