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21 search results found

GRASS GIS - free and open-source geospatial processing engine

Parallel Hyperparameter Tuning in Python

Julia_notebooks ⭐ 110

Julia Jupyter/Colab Notebooks

Pp4fpgas Cn Hls ⭐ 102

HLS Project of pp4fpgas - https://github.com/xupsh/pp4fpgas-cn

Spark With Python ⭐ 98

Fundamentals of Spark with Python (using PySpark), code examples

Psyclone ⭐ 92

Domain-specific compiler and code transformation system for Finite Difference/Volume/Element Earth-system models in Fortran

A High-Performance Data Science Toolkit for the Earth Sciences

Madpy Dask ⭐ 34

MadPy Dask talk materials

Nostradamus ⭐ 29

Backtesting an algorithmic trading strategy using Machine Learning and Sentiment Analysis.

Parallel Python Tutorial ⭐ 29

Parallel Computing with Python

Deep Learning Practical Course ⭐ 28

Introduction to Deep Learning from theory to deployment

pySDC is a Python implementation of the spectral deferred correction (SDC) approach and its flavors, esp. the multilevel extension MLSDC and PFASST.

Dqn Atari Agents ⭐ 18

DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

Flow Physics and Aeroacoustics Toolbox with Python

Parallelgso ⭐ 11

A highly scalable parallel version of Galactic Swarm Optimisation Algorithm

Julia and Python programs that implement some of the tools described in my book "Stochastic Methods in Asset Pricing" (SMAP), MIT Press 2017 (e.g., the method for computing the price of American call options and the construction of the early exercise premium in the Black-Scholes-Merton framework from section 18.4 in SMAP).

Big Data Analysis With Python ⭐ 8

Combine Spark and Python to process large datasets and unlock the power of parallel computing and machine learning

Image Search Using Parallel Computing ⭐ 7

CRISP is a Fast Image Search application that retrieves similar images from a database based on the query image by using Parallel computing paradigm.

Getting Up To Speed With Dask ⭐ 7

Gentle introduction to Dask

Iqn And Extensions ⭐ 7

PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.

Sqrt Parallel Smoothers ⭐ 5

A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algorithms, both in a sequential and parallel fashion, as well as efficient gradient rules for computing gradients of required quantities (such as the pseudo-loglikelihood of the system).

Spark Data Repair Plugin ⭐ 5

Provide functionality to build statistical models to repair dirty tabular data in Spark

Ray Acm Workshop 2023 ⭐ 5

Scalable/Distributed Computer Vision with Ray

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