amanchadha / awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
β11Updated 3 years ago
Alternatives and similar repositories for awesome-artificial-intelligence-guidelines:
Users that are interested in awesome-artificial-intelligence-guidelines are comparing it to the libraries listed below
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.β15Updated 4 years ago
- Efficient Python Tricks and Tools for Data Scientistsβ25Updated 3 years ago
- π Papers & tech blogs by companies sharing their work on data science & machine learning in production.β15Updated 3 years ago
- Collection of useful data science topics along with code and articlesβ25Updated 3 years ago
- Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques tβ¦β13Updated 3 years ago
- Data science interview questions and answersβ22Updated 3 years ago
- My Answer to 120 Data Science Interview Questionsβ12Updated 4 years ago
- A day to day plan for this challenge. Covers both theoritical and practical aspectsβ11Updated 5 years ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.β15Updated 3 years ago
- https://huyenchip.com/ml-interviews-book/β9Updated 4 years ago
- (Weekly Update) Python / Modern C++ Solutions of All 1643 LeetCode Problemsβ12Updated 4 years ago
- iPython Notebooks for NumPy and Python Primersβ16Updated 4 years ago
- 100 Must-Read NLP Papersβ48Updated 4 years ago
- VIP cheatsheets for Stanford's CS 229 Machine Learningβ8Updated 4 years ago
- A curated list of leetcode questions grouped by their common patternsβ14Updated 3 years ago
- This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spβ¦β172Updated 3 years ago
- This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.β48Updated 2 years ago
- A deep learning specialization series of 5 courses offered by Andrew Ng at Courseraβ25Updated 5 years ago
- Awesome MLOps Course Outlineβ34Updated 2 years ago
- β55Updated last year
- Hands-On Deep Learning Algorithms with Python, By Packtβ132Updated 2 years ago
- Tensorflow Advanced Technique Specializationβ88Updated 3 years ago
- Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.β348Updated last year
- Machine Learning Engineering for Production (MLOps) Coursera Specializationβ44Updated 3 years ago
- Deep Learning specializationβ57Updated 6 years ago
- The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformerβ¦β71Updated last year
- prabh-me / Introduction-to-TensorFlow-for-Artificial-Intelligence-Machine-Learning-and-Deep-Learning-CourseraThis repository contains the assignments for the Coursera course Introduction to TensorFlow for Artificial Intelligence, Machine Learningβ¦β48Updated 3 years ago
- DeepLearning.AI TensorFlow Developer Professional Certificate -Courseraβ113Updated 10 months ago
- Deeplearning.AI TensorFlow Advanced Techniques Specialization Solutionβ48Updated 4 years ago
- deeplearning.ai Tensorflow advance techniques specializationβ74Updated 4 years ago