Algorithmml & dl & kaggle
Stars: ✭ 24 (-91.7%)
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 (-79.24%)
QuoraKaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations
Stars: ✭ 36 (-87.54%)
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 (-94.46%)
d2l-javaThe Java implementation of Dive into Deep Learning (D2L.ai)
Stars: ✭ 94 (-67.47%)
kaggle-toolsSome tools that I often find myself using in Kaggle challenges.
Stars: ✭ 33 (-88.58%)
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 (-92.04%)
autogbt-altAn experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Stars: ✭ 76 (-73.7%)
kernel-runRun any Jupyter notebook instantly using Kaggle kernels
Stars: ✭ 59 (-79.58%)
Apartment-Interest-PredictionPredict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
Stars: ✭ 17 (-94.12%)
kaggler🏁 API client for Kaggle
Stars: ✭ 50 (-82.7%)
rawrExtract raw R code directly from webpages, including Github, Kaggle, Stack Overflow, and sites made using Blogdown.
Stars: ✭ 15 (-94.81%)
HumanOrRobota solution for competition of kaggle `Human or Robot`
Stars: ✭ 16 (-94.46%)
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 (-88.93%)
kaggle-codeA repository for some of the code I used in kaggle data science & machine learning tasks.
Stars: ✭ 100 (-65.4%)
data-visualization-deck-glA experiment to visualize Tree in NewYork and Flight record data. Using Deck.gl and Kaggle
Stars: ✭ 54 (-81.31%)
game2vecTensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.
Stars: ✭ 62 (-78.55%)
kaggle-quora-question-pairsMy solution to Kaggle Quora Question Pairs competition (Top 2%, Private LB log loss 0.13497).
Stars: ✭ 104 (-64.01%)
kaggleKaggle solutions
Stars: ✭ 17 (-94.12%)
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 (-84.78%)
intel-cervical-cancerTeam GuYuShiJie~'s 15th (top 2%) solution of cervix type classification in Kaggle 2017 competition, using PyTorch.
Stars: ✭ 19 (-93.43%)
Data-Scientist-In-PythonThis repository contains notes and projects of Data scientist track from dataquest course work.
Stars: ✭ 23 (-92.04%)
Argus FreesoundKaggle | 1st place solution for Freesound Audio Tagging 2019
Stars: ✭ 265 (-8.3%)
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 (-89.27%)
lux-ai-2021My published benchmark for a Kaggle Simulations Competition
Stars: ✭ 29 (-89.97%)
kaggle-plasticcSolution to Kaggle's PLAsTiCC Astronomical Classification Competition
Stars: ✭ 50 (-82.7%)
kaggle-camera-model-identificationCode for reproducing 2nd place solution for Kaggle competition IEEE's Signal Processing Society - Camera Model Identification
Stars: ✭ 64 (-77.85%)
Painters🎨 Winning solution for the Painter by Numbers competition on Kaggle.
Stars: ✭ 257 (-11.07%)
COVID-19-CaseStudy-and-PredictionsThis repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models.
Stars: ✭ 90 (-68.86%)
Kaggle CompetitionSummary of the Kaggle Stock Prediction Competition & my Trial
Stars: ✭ 78 (-73.01%)
fastknnFast k-Nearest Neighbors Classifier for Large Datasets
Stars: ✭ 64 (-77.85%)