5963 Open source projects that are alternatives of or similar to Kaggle

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

A community run, 5-day PyTorch Deep Learning Bootcamp

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

Solution to Kaggle - Web Traffic Time Series Forecasting

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Sample notebooks for Kaggle competitions

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

📢 Ready to learn or review your knowledge!

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

DATA-SCIENCE-BOWL-2018 Find the nuclei in divergent images to advance medical discovery

Pytorch starter kit for Kaggle competitions

阿水的数据竞赛开源分支

Kaggle Segmentation Challenge

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

BERT semantic search engine for searching literature research papers for coronavirus covid-19 in google colab

Materials for my Pycon 2015 scikit-learn tutorial.

Create HTML profiling reports from pandas DataFrame objects

IEEE "Invited Talk on Deep Learning" 03/02/2018

Slides and code for the PyData Berlin 2018 tutorial

Talk at scipy 2018: Interactive 3d Visualization in Jupyter

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

Repository of DeepNLP in 2019

Learn Python for free using open-source notebooks in Hebrew.

PyCon 2015 Pandas tutorial materials

How to do data science with Optimus, Spark and Python.

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

Time Series Anomaly Detection Toolkit

Interview = 简历指南 + LeetCode + Kaggle

A collection of tutorials, demos, and use cases for IBM Data Science Experience http://datascience.ibm.com/

Self-explaining Matrix Product States library in Python

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

This repo will contain my machine learning projects.

Implementation of various generative models

Introductory QMC teaching material for Python

Robust and highly performant ring detection algorithm for 3d particle tracking using 2d microscope imaging

Machine Learning applied to Cosmological Simulations

The main github repository for NLA2015 course

支付宝 AR 红包 破解教程

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

When performing data science tasks, it's common to want to use data found on the internet. You'll usually be able to access this data in csv format, or via an Application Programming Interface (API). However, there are times when the data you want can only be accessed as part of a web page. In cases like this, you'll want to use a technique called web scraping to get the data from the web page into a format you can work with in your analysis.

Topic and material (if available) of the talks

Notebooks for Jupyter training session at Mozfest 2015

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

1-step Q Learning from the paper "Asynchronous Methods for Deep Reinforcement Learning"

This Contains Algorithms and codes for NLP, CV and deep learning basics and some advanced concepts

All the files needed for the Terrapin Hackers Hacktorial on Behavioral Cloning for Self Driving Cars.

Implementation of Neural Image Captioning model using Keras with Theano backend

Make a sweet giant triangle confusogram (GTC) plot

Macroeconomics

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

Presentation and code from Cryptocurrency Technical Trading strategy meeting. Dec 7th 2017

Repository containing a dataSet and a python notebook to perform data analysis about workouts. The data was gathered from Health Graph API - Runkeeper