oyww710

oyww710's Stars

• greyhatguy007/deep-learning-specialization

  Contains Solutions to Deep Learning Specailization - Coursera

  Language:Jupyter Notebook12899

• greyhatguy007/Machine-Learning-Specialization-Coursera

  Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

  Language:Jupyter Notebook3.5k2.3k

• matheusfacure/python-causality-handbook

  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

  Language:Jupyter Notebook2.7k467

• mml-book/mml-book.github.io

  Companion webpage to the book "Mathematics For Machine Learning"

  Language:Jupyter Notebook13.1k2.4k

• luwill/Machine_Learning_Code_Implementation

  Mathematical derivation and pure Python code implementation of machine learning algorithms.

  Language:Jupyter Notebook1.5k601

• paulgp/applied-methods-phd

  Repo for Yale Applied Empirical Methods PHD Course

  Language:HTML1.9k581

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML69.2k14.3k

• facebookarchive/bootstrapped

  Generate bootstrapped confidence intervals for A/B testing in Python.

  Language:Python634101

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python23.9k4.6k

• chris-chris/ml-engineer-roadmap

  WIP: Roadmap to becoming a machine learning engineer in 2020

  2.1k256

• khangich/machine-learning-interview

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

  9k1.5k

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.2k3.7k

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.1k5.9k

• udacity/deep-learning-v2-pytorch

  Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

  Language:Jupyter Notebook5.3k5.3k

• JustGlowing/minisom

  :red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

  Language:Python1.4k420

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.5k1.4k

• yinchangchang/patient_similarity

  Language:Python329

• Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch

  Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.

  Language:Python658138

• datastacktv/data-engineer-roadmap

  Roadmap to becoming a data engineer in 2021

  12.3k1.3k

• Dod-o/Statistical-Learning-Method_Code

  手写实现李航《统计学习方法》书中全部算法

  Language:Python11k2.9k

• tcandzq/LeetCode

  LeetCode-Algorithms-DataStructure(write LeetCode with Python3)

  Language:Python226

• nosuggest/LeetCode

  数据结构应知应会

  Language:Python326

• nosuggest/Reflection_Summary

  算法理论基础知识应知应会

  2.5k511

• business-science/free_r_tips

  Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.

  Language:HTML1.3k668

• unit8co/darts

  A python library for user-friendly forecasting and anomaly detection on time series.

  Language:Python7.9k863

• cojocchen/covid19_critically_ill

  Trained model and inference code for early triage of critically-ill COVID-19 patients.

  Language:Python9335

• dongxuyang1985/thinking_in_sql

  GitChat 专栏《SQL 从入门到精通》示例数据库。

  Language:TSQL6562

• dongxuyang1985/Data-Science--Cheat-Sheet

  Cheat Sheets

  1

• alexandrebarachant/Grasp-and-lift-EEG-challenge

  Code and documentation for the winning sollution to the Grasp-and-Lift EEG Detection challenge

  Language:Python21789

• dsgiitr/d2l-pytorch

  This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

  Language:Jupyter Notebook4.2k1.2k