Pinned Repositories
advbayeslearn
Course material for the PhD course Advanced Bayesian Learning at Linköping University
An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Artificial-Intelligence-Terminology-Database
The English-Chinese paired terminologies in Artificial Intelligence Domain
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
astsa
R package to accompany Time Series Analysis and Its Applications: With R Examples
awesome
😎 Awesome lists about all kinds of interesting topics
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
hbinjm's Repositories
hbinjm/Artificial-Intelligence-Terminology-Database
The English-Chinese paired terminologies in Artificial Intelligence Domain
hbinjm/awesome
😎 Awesome lists about all kinds of interesting topics
hbinjm/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
hbinjm/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
hbinjm/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
hbinjm/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
hbinjm/awesome-rl
Reinforcement learning resources curated
hbinjm/Beautiful-Visualization-with-R
《R语言数据可视化之美》配套代码
hbinjm/Data-Visualization
Collection of interactive Jupiter Notebook widgets and graphs.
hbinjm/datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
hbinjm/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
hbinjm/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
hbinjm/keras
Deep Learning for humans
hbinjm/keras-io
Keras documentation, hosted live at keras.io
hbinjm/Lhy_Machine_Learning
李宏毅2021春季机器学习课程课件及作业
hbinjm/Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
hbinjm/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
hbinjm/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
hbinjm/PyEMD
Python implementation of Empirical Mode Decompoisition (EMD) method
hbinjm/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
hbinjm/python-guide
Python best practices guidebook, written for humans.
hbinjm/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
hbinjm/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
hbinjm/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
hbinjm/rchemo
R package for regression and discrimination, with special focus on chemometrics and high-dimensional data (This package is only maintained. The new current package is "Jchemo", under construction in Julia language)
hbinjm/simpleR
A simple MATLAB regression toolbox
hbinjm/tensorflow
An Open Source Machine Learning Framework for Everyone
hbinjm/tensorflow-handbook
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
hbinjm/tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
hbinjm/umap
Uniform Manifold Approximation and Projection