Painters🎨 Winning solution for the Painter by Numbers competition on Kaggle.
Stars: ✭ 257 (+147.12%)
Data Science Bowl 2018End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle
Stars: ✭ 56 (-46.15%)
QuoraKaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations
Stars: ✭ 36 (-65.38%)
infinityInfinity is a simple online puzzle hunt/jeopardy-style CTF platform.
Stars: ✭ 11 (-89.42%)
tool-competition-avThe repository hosts the code for the SBST CPS Tool competition for testing autonomous cars.
Stars: ✭ 16 (-84.62%)
kaggle-toolsSome tools that I often find myself using in Kaggle challenges.
Stars: ✭ 33 (-68.27%)
kaggle-plasticcSolution to Kaggle's PLAsTiCC Astronomical Classification Competition
Stars: ✭ 50 (-51.92%)
Competitive ProgrammingContains solutions and codes to various online competitive programming challenges and some good problems. The links to the problem sets are specified at the beginning of each code.
Stars: ✭ 65 (-37.5%)
rawrExtract raw R code directly from webpages, including Github, Kaggle, Stack Overflow, and sites made using Blogdown.
Stars: ✭ 15 (-85.58%)
autogbt-altAn experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Stars: ✭ 76 (-26.92%)
PracticalMachineLearningA 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.
Stars: ✭ 60 (-42.31%)
data-science-learning📊 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.
Stars: ✭ 32 (-69.23%)
Apartment-Interest-PredictionPredict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
Stars: ✭ 17 (-83.65%)
ml-workflow-automationPython Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.
Stars: ✭ 44 (-57.69%)
Kaggle-Competition-SberbankTop 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
Stars: ✭ 31 (-70.19%)
intel-cervical-cancerTeam GuYuShiJie~'s 15th (top 2%) solution of cervix type classification in Kaggle 2017 competition, using PyTorch.
Stars: ✭ 19 (-81.73%)
fastknnFast k-Nearest Neighbors Classifier for Large Datasets
Stars: ✭ 64 (-38.46%)
B2P-Penicilin-Tablut-AIJava-based artificial intelligence that plays Tablut using Ashton's rules
Stars: ✭ 27 (-74.04%)
Flag-CaptureSolutions and write-ups from security-based competitions also known as Capture The Flag competition
Stars: ✭ 84 (-19.23%)
hackathonRepositório de hackathons do Training Center
Stars: ✭ 20 (-80.77%)
HajimeHajime - Competition software management for Fencing Martial Arts
Stars: ✭ 13 (-87.5%)
data-visualization-deck-glA experiment to visualize Tree in NewYork and Flight record data. Using Deck.gl and Kaggle
Stars: ✭ 54 (-48.08%)
kuzushiji-recognitionKuzushiji 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.
Stars: ✭ 16 (-84.62%)
lux-ai-2021My published benchmark for a Kaggle Simulations Competition
Stars: ✭ 29 (-72.12%)
d2l-javaThe Java implementation of Dive into Deep Learning (D2L.ai)
Stars: ✭ 94 (-9.62%)
Hefei ECG TOP1“合肥高新杯”心电人机智能大赛 —— 心电异常事件预测 TOP1 Solution
Stars: ✭ 109 (+4.81%)
Data-Scientist-In-PythonThis repository contains notes and projects of Data scientist track from dataquest course work.
Stars: ✭ 23 (-77.88%)
kaggle-camera-model-identificationCode for reproducing 2nd place solution for Kaggle competition IEEE's Signal Processing Society - Camera Model Identification
Stars: ✭ 64 (-38.46%)
fhq-serverThis is an open source platform for competitions of computer security.
Stars: ✭ 33 (-68.27%)
PyData-Pseudolabelling-KeynoteAccompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)
Stars: ✭ 23 (-77.88%)
ifunnyРешение для конкурса FunCode Java/Kotlin Challenge
Stars: ✭ 25 (-75.96%)
Data-Science-ProjectsData 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
Stars: ✭ 28 (-73.08%)
kaggleKaggle solutions
Stars: ✭ 17 (-83.65%)
ferFacial Expression Recognition
Stars: ✭ 32 (-69.23%)