xinkevinzhang's Stars
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
datawhalechina/tiny-universe
《大模型白盒子构建指南》:一个全手搓的Tiny-Universe
Mozilla-Ocho/llamafile
Distribute and run LLMs with a single file.
Visualize-ML/Book1_Python-For-Beginners
Book_1_《编程不难》 | 鸢尾花书:从加减乘除到机器学习;请多多批评指正!
udlbook/udlbook
Understanding Deep Learning - Simon J.D. Prince
dario-passos/DeepLearning_for_VIS-NIR_Spectra
Deep Learning models applied to the analysis of VIS-NIR spectral data
km1994/nlp_paper_study
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
doocs/leetcode
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer(第 2 版)》、《程序员面试金典(第 6 版)》题解
jertubiana/PGM
Probabilistic Graphical Models in Python3.
Visualize-ML/Book3_Elements-of-Mathematics
Book_3_《数学要素》 | 鸢尾花书:从加减乘除到机器学习;上架;欢迎继续纠错,纠错多的同学还会有赠书!
google-research/google-research
Google Research
lmmentel/awesome-python-chemistry
A curated list of Python packages related to chemistry
AlanRace/SpectralAnalysis
Software for the analysis and interactive exploration of spectral imaging data
nick6918/MyDeepLearning
A deep learning library to provide algs in pure Numpy or Tensorflow.
JinZhangLab/DNTD
Direct non-trilinear decomposition for analyzing high-dimensional data with imperfect trilinearity (Direct non-trilinear decomposition )
gilgarmish/lrslibrary
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
UEF-BBC/nippy
Semi-automated preprocessing of NIRS data
alexandrovteam/pyimzML
A parser to read .imzML files with python
pFindStudio/pDeepXL
pDeepXL: MS/MS spectrum prediction for cross-linked peptide pairs by deep learning
pFindStudio/pDeep
pDeep: Predicting MS/MS Spectra of Peptides with Deep Learning
jgvictores/awesome-deep-reinforcement-learning
Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...
fastai/fastbook
The fastai book, published as Jupyter Notebooks
MingchaoZhu/DeepLearning
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Vay-keen/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
vedvasu/BP_Rpi
Measurement of blood pressure using near infrared spectroscopy through Rpi-python