Venodda

Venodda's Stars

• google/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30k3285.5k2.7k

• mongodb/mongo

  The MongoDB Database

  Language:C++26.7k1.3k05.6k

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.2k140483941

• KaimingHe/deep-residual-networks

  Deep Residual Learning for Image Recognition

  6.5k301702.2k

• lballabio/QuantLib

  The QuantLib C++ library

  Language:C++5.6k2616201.8k

• careercup/CtCI-6th-Edition-Python

  Cracking the Coding Interview 6th Ed. Python Solutions

  Language:Python5k126431.8k

• google-deepmind/open_spiel

  OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

  Language:C++4.3k106566950

• py-why/EconML

  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

  Language:Jupyter Notebook3.9k78582727

• PKUFlyingPig/Self-learning-Computer-Science

  the resources I use to learn computer science in my spare time

  3.8k535355

• PythonOT/POT

  POT : Python Optimal Transport

  Language:Python2.5k47260507

• fedecaccia/avellaneda-stoikov

  Avellaneda-Stoikov HFT market making algorithm implementation

  Language:Python46591140

• ShiqinHuo/Numerical-Optimization-Books

  Collected study materials in Numerical Optimization ANU@MATH3514(HPC)

  3254091

• Trinkle23897/learn2018-autodown

  清华大学新版网络学堂课程自动下载脚本 / A python script to clone all files from learn.tsinghua.edu.cn

  Language:Python30771670

• scikit-fmm/scikit-fmm

  scikit-fmm is a Python extension module which implements the fast marching method.

  Language:Python282146563

• hansbuehler/deephedging

  Implementation of the vanilla Deep Hedging engine

  Language:Jupyter Notebook24412250

• amuguruza/NN-StochVol-Calibrations

  We implement the paper: Deep Learning Volatility

  Language:Jupyter Notebook18114484

• facebookresearch/MathsFromExamples

  Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François Charton, Amaury Hayat (ENPC-Rutgers) and Guillaume Lample

  Language:Python1779012

• jvgomez/fast_methods

  N-Dimensional Fast Methods: Fast Marching, Fast Sweeping, Group Marching, Fast Iterative, etc.

  Language:C++17617360

• netneurolab/pypyls

  A Python implementation of Partial Least Squares (PLS) decomposition

  Language:Python6283129

• nus-sys/cs5223-labs

  Language:Java571037

• Andres-Hernandez/CalibrationNN

  Model Calibration with Neural Networks

  Language:Python478127

• ettersi/ComputationalMathematics

  Lecture slides and homework assignments for MA5233 Computational Mathematics at the National University of Singapore.

  Language:Julia387015

• yifanc96/NonLinPDEs-GPsolver

  Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes

  Language:Jupyter Notebook36207

• markveillette/stbl

  MATLAB library for working with alpha stable distributions

  Language:MATLAB275112

• JackJacquier/Heston-normal-and-rough

  European and Forward-start option pricing and implied volatility in the Heston and rough Heston model

  Language:Jupyter Notebook211116

• amuguruza/RoughFCLT

  Language:Jupyter Notebook18308

• ZehaoDou-official/Solutions-for-Math-Textbooks

  In this repository, I place my solution for the exercises in multiple famous math textbooks, including Stochastic Differential Equation, Partial Differential Equation, Optimization and so on.

  Language:TeX13206

• imyoungmin/FSM

  Fast Sweeping Method

  Language:Python8200

• yifanc96/PDEs-GP-KoleskySolver

  Code for the paper: Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes

  Language:Jupyter Notebook7100

• jeanhiou/MOT

  Work on Martingale optimal transport

  Language:C++1101