768 Open source projects that are alternatives of or similar to dst

📚 [.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

Data-centric declarative deep learning framework

Python codes from tutorials on the Data Professor YouTube channel

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

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

No description or website provided.

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Tools to Design or Visualize Architecture of Neural Network

AI on Hadoop

ML Research paper summaries, annotated papers and implementation walkthroughs

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

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

A uniform interface to run deep learning models from multiple frameworks

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

AI開発プラットフォームKAMONOHASHI

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

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

All For NLP, especially Chinese.

Visualizer for neural network, deep learning, and machine learning models

ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

anomaly detection with anomalize and Google Trends data

List of Data Science and Machine Learning Resource that I frequently use

A guide to getting started with Data Science and ML.

Dynamic Programming implemented in Rcpp. Includes example partition and out of sample fitting applications.

Type4Py: Deep Similarity Learning-Based Type Inference for Python

Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

深度学习入门教程, 优秀文章, Deep Learning Tutorial

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

FastText for Node.js

A Graphical user Interface for deep learning and computer vision over Monk Libraries

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.

Tree LSTM implementation in PyTorch

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

machine learning and deep learning tutorials, articles and other resources

Code for Java Deep Learning Cookbook

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

【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

ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Curated list of Python resources for data science.

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

The open and extensible integrated development environment (IDE) for computer vision with built-in modules for model building, automated labeling, data processing, model training, hyperparameter tuning and workflow orchestration.

Compilation of R and Python programming codes on the Data Professor YouTube channel.

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

A fast xgboost feature selection algorithm

Jun 2020 scikit-learn sprint

All the slides, accompanying code and exercises all stored in this repo. 🎈

Plant Disease Detector Web Application

I am sharing my Journey of 66DaysofData in Natural Language Processing.

`mllint` is a command-line utility to evaluate the technical quality of Python Machine Learning (ML) projects by means of static analysis of the project's repository.

Start a data science project with modern tools

Recognition of Sign Language using Capsule Networks

Multiple implementations for abstractive text summurization , using google colab

A curated list of amazingly awesome Cybersecurity datasets

My presentation at ODSC India 2018 about Deep Learning with Apache Spark

Comet-For-MLFlow Extension

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

The Fuzzy Labs guide to the universe of open source MLOps