6152 Open source projects that are alternatives of or similar to Cikm 2019 Analyticup

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

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.

📢 Ready to learn or review your knowledge!

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

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

Exposure Matrix Factorization: modeling user exposure in recommendation

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

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

Music recommender using deep learning with Keras and TensorFlow

Solution to Kaggle - Web Traffic Time Series Forecasting

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.

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

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

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.

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

Pytorch starter kit for Kaggle competitions

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

My kaggle competition solution and notebook

项亮的《推荐系统实践》的代码实现

阿水的数据竞赛开源分支

Sample notebooks for Kaggle competitions

Kaggle Segmentation Challenge

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.

Deep Keyphrase Extraction using BERT

All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.

An Automatic Speech Recognition Frame ，一个中文语音识别的完整框架， 提供了多个模型

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

✅ Solutions to MachineLearning, DeepLearning, NeuralNetwork

💿 Free software that works great, and also happens to be open-source Python.

PDFTableExtract

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network

Files for my scikit-learn tutorial at PyCon 2013

A game theoretic approach to explain the output of any machine learning model.

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

Combining Psi4 and Numpy for education and development.

Transformer OCR

MONAI Tutorials

ULMFit Language Modeling, Text Feature Extraction and Text Classification in Thai Language. Created as part of pyThaiNLP

Material for the pandas tutorial at EuroScipy 2016

Code for a convolutional autoencoder written on python, theano, lasagne, nolearn

Sorting Google Scholar search results based on the number of citations

A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

🟣 Object detection of abstract shapes with neural networks

Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

CME211 Notes | Outline ->

A day to day plan for this challenge. Covers both theoritical and practical aspects

A Multipurpose Library for Synthetic Time Series Generation in Python

This is the code for the "How to Make Word Vectors from Game of Thrones (LIVE) " Siraj Raval on Youtube

Assessing car damage with convolution neural networks for a personal auto claims expedition use case

Self Driving Car development tools and technologies from GTA Robotics Community members

Classifying White Blood Cells with CNNs

Udacity Machine Learning Nano Degree Courses

Source files for "Lectures in Quantitative Economics" -- Python version