ashkspark

ashkspark's Stars

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python37.8k3773206k

• stellargraph/stellargraph

  StellarGraph - Machine Learning on Graphs

  Language:Python3k621k431

• david-cortes/contextualbandits

  Python implementations of contextual bandits algorithms

  Language:Python7542362147

• VHRanger/nodevectors

  Fastest network node embeddings in the west

  Language:Python534114860

• KKeishiro/Yahoo_recommendation

  Yahoo! news article recommendation system by linUCB

  Language:Python1094044

• redwoodresearch/Easy-Transformer

  Language:Python1021015

• david-cortes/costsensitive

  (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)

  Language:Python4741019

• microsoft/augmented-interpretable-models

  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

  Language:Jupyter Notebook387212

• Charlesvandamme/Inductive-Graph-Representation-Learning-for-Fraud-Detection

  This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detection

  Language:Jupyter Notebook30157

• rafaelvanbelle/CATCHM

  Code repository for the paper: A novel network-based credit card fraud detection approach using node representation learning

  Language:Jupyter Notebook9213

• ma-sadeghi/pardiso4py

  Python interface to the Intel MKL Pardiso library to solve large sparse linear systems of equations

  Language:Python7001

• vabhi6/SLA

  Finite Element code to compute separation force on parts printed using constrained-surface stereolithography

  Language:MATLAB3000

• conda-forge/scikit-umfpack-feedstock

  A conda-smithy repository for scikit-umfpack.

  Language:Batchfile25

• msv5450/telematics_analysis

  Vehicle telematics data is often collected by insurance companies for adaptable pricing. This data is used to predict the likelihood of having a future accident based on driving patterns

  Language:HTML2101

• ashkspark/Credit-Card-Fraudlent

  Language:Jupyter Notebook1100

• ashkspark/DBDT

  Language:Python1000

• ashkspark/The-Elements-of-Statistical-Learning-Python-Notebooks

  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

  Language:Jupyter Notebook1100

• rafaelvanbelle/fucc_package

  repository for the FUCC Python Package

  Language:Python1200

• rafaelvanbelle/Inductive-Graph-Representation-Learning-for-Fraud-Detection

  This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detection

  Language:Jupyter Notebook1100