2644 Open source projects that are alternatives of or similar to Mariana

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Lets Learn AI

deeplearning.ai , By Andrew Ng, All video link

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

a delightful machine learning tool that allows you to train, test, and use models without writing code

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

【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

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.

Code for Java Deep Learning Cookbook

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

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

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

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Season 2 of @twosigma's artificial intelligence programming challenge

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

Curated list of Python resources for data science.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Deep Learning Projects that Build Themselves

[UNMAINTAINED] Automated machine learning for analytics & production

A collection of Methods and Models for various architectures of Artificial Neural Networks

Multiple implementations for abstractive text summurization , using google colab

Gorgonia is a library that helps facilitate machine learning in Go.

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

Top 200 deep learning Github repositories sorted by the number of stars.

A fast xgboost feature selection algorithm

NeuPy is a Tensorflow based python library for prototyping and building neural networks

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Voice Activity Detection based on Deep Learning & TensorFlow

Learning to Cluster. A deep clustering strategy.

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

This repository contains notes and projects of Data scientist track from dataquest course work.

This is an open sourced book on deep learning.

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

model-describer : Making machine learning interpretable to humans

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.

Data-centric declarative deep learning framework

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

machine learning and deep learning tutorials, articles and other resources

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

📢 Ready to learn or review your knowledge!

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

Multi-class confusion matrix library in Python

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

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"

I will update this repository to learn Machine learning with python with statistics content and materials

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

PHP-ML - Machine Learning library for PHP

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

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

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