cuongnguyenvpi Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

300days__machinelearningdeeplearning

I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

awesome-explainable-ai

A collection of research materials on explainable AI/ML

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awsome_deep_geometry_learning

A list of resources about deep learning solutions on 3D shape processing

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

computervision

The repository is dedicated towards the implementation of Computer Vision.

cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

data-engineering-with-databricks-english

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

docker

Docker Introduction and basics

explainable-ai-examples

AI explainability is a big topic in the tech world right now, & experts have been working to create ways for machines to start explaining what they are doing. So I am compiling all great examples of tools used to help with AI explainability.

fb-ml101

do stuffs to set up Dev Env

fb-mle

second MLE9 GitHub

glg-automated-meta-data-tagging

Summer 2021 Industry Sponsored Project with GLG and FourthBrain.ai implementing Named Entity recognition, hierarchical topic clustering on the NER corpus dataset

hands-on-explainable-ai-xai-with-python

Explainable AI with Python, published by Packt

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

imgaug

Image augmentation for machine learning experiments.

intro-to-data-science

ipython-notebooks

A collection of IPython notebooks covering various topics.

lime

Lime: Explaining the predictions of any machine learning classifier

machine-learning-a-z-hands-on-python-and-r-in-data-science

Repository For Codes And Concept Taught in Udemy Course

ml-yearning-vi

Một cuốn sách tập trung vào hướng dẫn cách cấu trúc các dự án Học Máy và phân tích cách làm cho các thuật toán Học Máy hoạt động.

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mle9-cuong

Do stuff from MLE-9 course

papers-we-love

Papers from the computer science community to read and discuss.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media