193 Open source projects that are alternatives of or similar to Kaggle Hpa

Fast k-Nearest Neighbors Classifier for Large Datasets

PyTorch extensions for fast R&D prototyping and Kaggle farming

Spark 2.0 Scala Machine Learning examples

Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

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

ml & dl & kaggle

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

Kaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations

记录我学习数据挖掘过程的笔记和见到的奇技，持续更新～

Kaggle을 처음 접하는 사람들을 위한 문서

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Solution of the Titanic Kaggle competition

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Personalized Medicine: Redefining Cancer Treatment with deep learning

Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

Kuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.

A searchable compilation of Kaggle past solutions

Extract raw R code directly from webpages, including Github, Kaggle, Stack Overflow, and sites made using Blogdown.

Code for Kaggle Data Science Competitions

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

Comparison tools

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

Kaggle datascience bowl 2017

Accompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)

9th Place Solution of Kaggle Global Wheat Detection

Data Science projects on various problem statements and datasets using Data Analysis, Machine Learning Algorithms, Deep Learning Algorithms, Natural Language Processing, Business Intelligence concepts by Python

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Facial Expression Recognition

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Kaggle 120种狗分类，Gluon实现

CatBoost tutorials repository

Open solution to the Cdiscount’s Image Classification Challenge

A community run, 5-day PyTorch Deep Learning Bootcamp

CNN histopathologic tumor identifier.

3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.

A collection of my blogs on Data Science and Machine learning.

Code for 3rd place solution in Kaggle Humpback Whale Identification Challenge.

Kaggle | 14th place solution for TGS Salt Identification Challenge

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

No description or website provided.

A collection of useful modules and utilities (especially helpful for kaggling) not available in Pytorch

Compilation of good Kaggle Kernels.

Một cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.

Material of the Kaggle Berlin meetup group!

数据科学竞赛知识、代码、思路

AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

🏆 Kaggle 8th place solution

Oriented SSD for "Kaggle Airbus Ship Detection Challenge"

A prize winning solution for DFDC challenge

Code for Kaggle and Offline Competitions

LAMA - automatic model creation framework

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

Pin, Discover and Share Resources

8th place solution (on Kaggle) to the Freesound General-Purpose Audio Tagging Challenge (DCASE 2018 - Task 2)

kaggleのporto-seguro-safe-driver-prediction, michaelのsolver

Satellite Imagery Feature Detection (68 out of 419)