monicaio

Pinned Repositories

abcpy
ABCpy package
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ad
Fast, transparent calculations of first and second-order automatic differentiation
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adawhatever
MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.
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arxivsearch
Pulls papers from arXiv on a weekly basis
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autograd
Efficiently computes derivatives of numpy code.
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autolrs
Automatic learning-rate scheduler
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awesome-normalizing-flows
A list of awesome resources on normalizing flows.
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BADAM
Code which implements BADAM
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Bambi_resources
Educational resources
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bayes-nn
Lecture notes on Bayesian deep learning
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monicaio's Repositories

monicaio/abcpy
ABCpy package
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monicaio/blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
monicaio/botorch
Bayesian optimization in PyTorch
monicaio/Data-Analysis
Data Science Using Python
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monicaio/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
monicaio/deepxde
A library for scientific machine learning
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monicaio/EMPRM
Demo code of Registration of multi-view point sets under theperspective of expectation-maximization, IEEE TIP 2020.
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monicaio/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
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monicaio/goodpoints
A Python package for generating concise, high-quality summaries of a probability distribution
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monicaio/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
monicaio/IT_book
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）
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monicaio/JittorVis
JittorVis - Visual understanding of deep learning models
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monicaio/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
monicaio/machine-learning-server-docs
This is the GitHub repository for the technical product documentation for Machine Learning Server. See the README.md file for more. This documentation is published to:
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monicaio/masr
:book: 现代应用统计 Modern Applied Statistics with R
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monicaio/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
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monicaio/models
Models and examples built with TensorFlow
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monicaio/particles
Sequential Monte Carlo in python
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monicaio/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
monicaio/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
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monicaio/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
monicaio/python-guide
Python best practices guidebook, written for humans.
monicaio/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
monicaio/resources
PyMC3 educational resources
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monicaio/sbi
Simulation-based inference toolkit
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monicaio/shortex
LaTeX header file with useful definitions
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monicaio/SOFTX-D-21-00129
https://arxiv.org/pdf/2007.05094.pdf An Easy-To-Use Code Generator for Gradients and Hessians. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001540
Language:Python1 0
monicaio/stan
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
monicaio/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
monicaio/vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB