virgili0 / VirgilioLinks
Your new Mentor for Data Science E-Learning.
☆14,311Updated 3 months ago
Alternatives and similar repositories for Virgilio
Users that are interested in Virgilio are comparing it to the libraries listed below
Sorting:
- Machine Learning Course with Python:☆7,058Updated last year
- Simple and ready-to-use tutorials for TensorFlow☆16,338Updated 3 years ago
- Simple Tensorflow Cookbook for easy-to-use☆2,758Updated 5 years ago
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆24,103Updated 2 months ago
- A collection of various deep learning architectures, models, and tips☆17,365Updated last year
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,772Updated last year
- Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著☆7,852Updated 3 years ago
- 100 Days of ML Coding☆49,488Updated 2 years ago
- This repository is no longer maintained.☆15,384Updated 6 years ago
- 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sc…☆57,093Updated last year
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,377Updated 5 years ago
- 100-Days-Of-ML-Code中文版☆22,186Updated 3 years ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,841Updated 2 years ago
- Chinese Translation for Machine Learning Infographics☆3,522Updated 7 years ago
- Best Practices on Recommendation Systems☆21,395Updated this week
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,442Updated last year
- 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…☆9,542Updated 2 weeks ago
- [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】☆3,859Updated 4 years ago
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆30,448Updated 2 years ago
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,398Updated 6 years ago
- Code for Tensorflow Machine Learning Cookbook☆6,253Updated last year
- Machine learning, in numpy☆16,242Updated 2 years ago
- A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep …☆3,961Updated 10 months ago
- Bug-tracking for Jeff's algorithms book, notes, etc.☆8,045Updated 6 years ago
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,195Updated 5 years ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆19,192Updated 5 years ago
- 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☆3,944Updated 2 years ago
- This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.☆4,341Updated last year
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,785Updated last year
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,824Updated last year