6302 Open source projects that are alternatives of or similar to Data

Auxiliary Classifier Generative Adversarial Networks in Keras

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

Python tutorials for introduction to machine learning

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

Splitgraph command line client and python library

Example of "biological" learning for MNIST

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

Deep learning codes and projects using Python

Some code examples gathered during my Month of Julia.

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

NeMo: a toolkit for conversational AI

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Simplified implementations of deep learning related works

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Generate and upload test data to Elasticsearch for performance and load testing

Machine Learning notebooks for refreshing concepts.

LargitData Course Material

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Language independent module providing minecraft data for minecraft clients, servers and libraries.

Run any standard Python code quality tool on a Jupyter Notebook

What scientific programmers must know about CPUs and RAM to write fast code.

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Pytorch implementation of set transformer

just some code snippet

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

Code snippets from Kite blog posts

Notes and Summaries on ML-related Research Papers (with optional implementations)

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Official mirror of https://gitlab.com/lfortran/lfortran. Please submit pull requests (PR) there. Any PR sent here will be closed automatically.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Simple plotting library that wraps Matplotlib and integrated with DataFrames

Optimization Examples with SigOpt

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

A seq2seq model that can correct spelling mistakes.

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

Detecting and counting small objects - Analysis, review and application to counting

A fast and lightweight AutoML library.

爬虫+数据分析实战项目

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

rediscompare is a tool for chech two redis db data consistency. 是用来对比、校验redis 多个数据库数据一致性的命令行工具,支持单实例到单实例、单实例到原生集群、多实例多库到单实例等场景。

A clear, concise, simple yet powerful and efficient API for deep learning.

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

Ciência de Dados aplicada à pandemia do novo coronavírus.

公众号：早起Python

On the "steerability" of generative adversarial networks

Deep Learning / NLP tutorial for Chatbot Developers

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

pandas中文教程

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.