firmai / industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
☆7,344Updated 7 months ago
Alternatives and similar repositories for industry-machine-learning:
Users that are interested in industry-machine-learning are comparing it to the libraries listed below
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,452Updated last year
- Minimal and clean examples of machine learning algorithms implementations☆10,826Updated 2 years ago
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,164Updated 4 years ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,559Updated 6 months ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆38,502Updated 8 months ago
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆23,441Updated 5 months ago
- Organized Resources for Deep Learning Researchers and Developers☆3,183Updated 2 years ago
- machine learning and deep learning tutorials, articles and other resources☆16,146Updated 10 months ago
- A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employ…☆786Updated 7 months ago
- Curated list of Python resources for data science.☆4,370Updated last month
- Data science interview questions and answers☆9,291Updated 2 weeks ago
- Visualizations for machine learning datasets☆7,368Updated last year
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆24,459Updated last year
- A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.☆6,183Updated 4 years ago
- Open Machine Learning Course☆10,009Updated 4 months ago
- common data analysis and machine learning tasks using python☆5,424Updated last year
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,478Updated last year
- The fastai deep learning library☆26,924Updated 2 weeks ago
- An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.☆4,759Updated 2 years ago
- An awesome Data Science repository to learn and apply for real world problems.☆26,234Updated this week
- A Code-First Introduction to NLP course☆3,443Updated 2 years ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆18,389Updated this week
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,339Updated 4 years ago
- Carefully curated resource links for data science in one place☆3,048Updated 8 months ago
- Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)☆11,294Updated 2 years ago
- This repo contains annotated research papers that I found really good and useful☆2,736Updated 2 months ago
- A curated list of data science blogs☆6,355Updated 11 months ago
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.☆4,340Updated 5 months ago
- A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep …☆3,859Updated last month
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,781Updated 4 years ago