GeorgeLiang3

GeorgeLiang3's Stars

• LiuTingWed/Neural-Architecture-Search-PaperAndCode-Sunmary

  This repository collects recent NAS based methods and provide a summary (Paper and Code) by year and task. We hope this repo can help you better understand the trend of NAS era.

  13

• Snowflake-Labs/snowflake-demo-streamlit

  This repo contains a collection of Streamlit in Snowflake demos, tutorials, and examples

  Language:Python17819

• RyanFu008/digitize-heatmap

  Language:JavaScript7

• auggiemarignier/neighpy

  Python implementation of the Neighbourhood Algorithm

  Language:Python3

• MScheiter/gan_mcmc

  Code and data for "Upscaling and downscaling Monte Carlo ensembles with generative models" (Scheiter et al., GJI, 2022)

  Language:Python132

• activatedgeek/svgd

  PyTorch implementation of Stein Variational Gradient Descent

  Language:Jupyter Notebook414

• lookscanned/lookscanned.io

  📚 LookScanned.io - Make your PDFs look scanned

  Language:Vue2.7k199

• latentcat/latentbox

  A collection of awesome-lists for AI, creativity and art. AI、创意和艺术领域的精选合集。https://latentbox.com

  Language:TypeScript1.3k122

• krasserm/bayesian-machine-learning

  Notebooks about Bayesian methods for machine learning

  Language:Jupyter Notebook1.8k465

• cardinalgeo/drilldown

  Visualization tools for "drilling down" into ore deposits datasets

  Language:Python4712

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.5k8.7k

• GeorgeLiang3/GemPyTF

  a TensorFlow extension of GemPy.

  Language:Jupyter Notebook124

• Bashirkazimi/agile-submission-2021

  Language:Python21

• alex-schaaf/randomhistory

  A random Noddy history generator.

  Language:Python1

• ahinoamp/PyNoddyInversion

  Repository to accompany PyNoddy that includes inversion code

  Language:HTML74

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.9k1.5k

• tannisthamaiti/ML_well_log

  The code describes how unsupervised ML can be applied to well log data for efficient clustering. A part of the well log data is provided.

  Language:Jupyter Notebook4627

• SimBe-hub/PySubdiv

  Language:Python32

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML9.1k2k

• chi-feng/mcmc-demo

  Interactive Markov-chain Monte Carlo Javascript demos

  Language:JavaScript811117

• cgre-aachen/gemgis

  Spatial data processing for geomodeling

  Language:Python26742

• cpempire/pSVGD

  projected Stein variational gradient descent

  Language:Python81

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  178k51.2k

• suragnair/alpha-zero-general

  A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

  Language:Jupyter Notebook4k1.1k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.6k8k

• jwasham/computer-science-flash-cards

  Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

  Language:HTML8.5k2k

• cgre-aachen/pynoddy

  pynoddy is a python package to write, change, and analyse kinematic geological modelling simulations performed with Noddy.

  Language:Python7332

• BoltzmannEntropy/interviews.ai

  It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

  4.5k298

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  10.1k1.6k

• garrettj403/SciencePlots

  Matplotlib styles for scientific plotting

  Language:Python7.3k714