5921 Open source projects that are alternatives of or similar to Mlops On Gcp

LargitData Course Material

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

Russian language models for spaCy

网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及代码。下为网易云学习链接

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

top 1% solution to toxic comment classification challenge on Kaggle.

pandas中文教程

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Run any standard Python code quality tool on a Jupyter Notebook

Deep learning system course

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

Juliabox continues to run, but this codebase is no longer current.

Open source ultrasound processing modules and building blocks

Quantitative Interview Preparation Guide, updated version here ==>

just some code snippet

This is the official repository for the Recommender Systems course at Politecnico di Milano.

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

YoloV3 Implemented in Tensorflow 2.0

Code snippets from Kite blog posts

Data preparation and loader for AMASS

Urban Informatics and Visualization (UC Berkeley CP255)

Run M Files from Python - GNU Octave to Python bridge

A wrapper of the COCOeval class for extended keypoint error estimation analysis.

An introduction to data science in Python, for people with no programming experience.

Hands-On Machine Learning with Scikit-Learn & TensorFlow (O'Reilly)

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

A set of tutorials for torchtext

Materials for PyCon 2017 presentation on optimizing Pandas code

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

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

A collection of Jupyter Notebooks for learning Python for Data Science.

This is code of book "Learn Deep Learning with PyTorch"

Optimization Examples with SigOpt

Find surprising moves in chess games

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

Anomaly detection for temporal data using LSTMs

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)

Algorithms course materials for the Lede program at Columbia Journalism School

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

A seq2seq model that can correct spelling mistakes.

DGL tutorial in KDD 2019

A fast, extensible, transparent python library for backtesting quantitative strategies.

高速でJuliaを学ぶ入門チュートリアル

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

U-Net implementation in Tensorflow

emoji2vec: Learning Emoji Representations from their Description

爬虫+数据分析实战项目

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

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

Simple plotting library that wraps Matplotlib and integrated with DataFrames

This is an LSTM stock prediction using Tensorflow with Keras on top.

A neural network that transforms a design mock-up into a static website.

Train and Deploy Simple Machine Learning Model With Web Interface - Docker, PyTorch & Flask

Codes related to various ML Hackathons

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)