Collaborative Deep Learning For Recommender SystemsThe hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.
Stars: ✭ 60 (-70.59%)
Storytelling With DataCourse materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
Stars: ✭ 59 (-71.08%)
Kdd Multimodalities RecallThis is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.
Stars: ✭ 61 (-70.1%)
W2vWord2Vec models with Twitter data using Spark. Blog:
Stars: ✭ 64 (-68.63%)
Datacamp🍧 A repository that contains courses I have taken on DataCamp
Stars: ✭ 69 (-66.18%)
Etl with pythonETL with Python - Taught at DWH course 2017 (TAU)
Stars: ✭ 68 (-66.67%)
Hitchhikers GuideThe Hitchhiker's Guide to Data Science for Social Good
Stars: ✭ 732 (+258.82%)
SuspeitandoProjeto de análise de contratos com suspeita de superfaturamento e má qualidade na prestação de serviços.
Stars: ✭ 76 (-62.75%)
Fermat.jsMathematics and statistics library for TypeScript.
Stars: ✭ 74 (-63.73%)
Math And Ml NotesBooks, papers and links to latest research in ML/AI
Stars: ✭ 76 (-62.75%)
Nlp TutorialNatural Language Processing Tutorial for Deep Learning Researchers
Stars: ✭ 9,895 (+4750.49%)
Covid19 DashboardA site that displays up to date COVID-19 stats, powered by fastpages.
Stars: ✭ 1,212 (+494.12%)
ZigzagPython library for identifying the peaks and valleys of a time series.
Stars: ✭ 156 (-23.53%)
PhormaticsUsing A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)
Stars: ✭ 79 (-61.27%)
Neural Networksbrief introduction to Python for neural networks
Stars: ✭ 82 (-59.8%)
MathyTools for using computer algebra systems to solve math problems step-by-step with reinforcement learning
Stars: ✭ 79 (-61.27%)
Notebooks 📓 A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc
Stars: ✭ 84 (-58.82%)
Sortingalgorithm.hayateshikiHayate-Shiki is an improved merge sort algorithm with the goal of "faster than quick sort".
Stars: ✭ 84 (-58.82%)
Movie Recommender SystemBasic Movie Recommendation Web Application using user-item collaborative filtering.
Stars: ✭ 85 (-58.33%)
Kaggle CompetitionsThere 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.
Stars: ✭ 86 (-57.84%)
Training MaterialA collection of code examples as well as presentations for training purposes
Stars: ✭ 85 (-58.33%)
Practical Cryptography For Developers BookPractical Cryptography for Developers: Hashes, MAC, Key Derivation, DHKE, Symmetric and Asymmetric Ciphers, Public Key Cryptosystems, RSA, Elliptic Curves, ECC, secp256k1, ECDH, ECIES, Digital Signatures, ECDSA, EdDSA
Stars: ✭ 2,400 (+1076.47%)
MachinelearningA repo with tutorials for algorithms from scratch
Stars: ✭ 96 (-52.94%)
Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (-52.94%)
Har Keras CnnHuman Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
Stars: ✭ 97 (-52.45%)
Mit Deep Learning Book PdfMIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Stars: ✭ 9,859 (+4732.84%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+976.96%)
FastbookThe fastai book, published as Jupyter Notebooks
Stars: ✭ 13,998 (+6761.76%)
Gasyori100knockimage processing codes to understand algorithm
Stars: ✭ 1,988 (+874.51%)
PytorchnlpbookCode and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
Stars: ✭ 1,390 (+581.37%)
Learning Vis ToolsLearning Vis Tools: Tutorial materials for Data Visualization course at HKUST
Stars: ✭ 108 (-47.06%)
SageMirror of the Sage source tree -- please do not submit PRs here -- everything must be submitted via https://trac.sagemath.org/
Stars: ✭ 1,656 (+711.76%)
Spark R Notebooks R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (-46.57%)
Mlf Mlt📚 机器学习基石和机器学习技法作业
Stars: ✭ 112 (-45.1%)
Riemann bookAn interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks. Work in progress.
Stars: ✭ 160 (-21.57%)
Rl Tutorial Jnrr19Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Stars: ✭ 204 (+0%)
NumerixA collection of useful mathematical functions in Elixir with a slant towards statistics, linear algebra and machine learning
Stars: ✭ 159 (-22.06%)
Hey JetsonDeep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
Stars: ✭ 161 (-21.08%)
Cython Blis💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
Stars: ✭ 165 (-19.12%)
NewsrecommenderA news recommendation system tailored for user communities
Stars: ✭ 164 (-19.61%)