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-datasciencecoursera

datascience

30-seconds-of-python

A curated collection of useful Python snippets that you can understand in 30 seconds or less.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

analyzing-visualizing-data-excel

applied-ml

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

awesome-ai-art-image-synthesis

A list of awesome tools, ideas, prompt engineering tools, colabs, models, and helpers for the prompt designer playing with aiArt and image synthesis. Covers Dalle2, MidJourney, StableDiffusion, and open source tools.

awesome-mlops

A curated list of references for MLOps

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

bigdata_analyse

大数据分析项目

c-programming-with-linux

Dartmouth & IMT on coursera and edx

cd0360-introduction-to-computer-vision

nd891-1 / cd0360 Introduction to Computer Vision

centernet

Object detection, 3D detection, and pose estimation using center point detection:

chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

computer-vision-basics-with-python-keras-and-opencv

Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.

coursera-intro-github-assignment

The first assignment about githun

coursera-university-of-washington

University of Washington

courseware-embedded-machine-learning

tinyML and Embedding ML

dat210x

Programming with Python for Data Science Microsoft

data-algorithms-book

MapReduce, Spark, Java, and Scala for Data Algorithms Book

data-science-from-scratch

code for Data Science From Scratch book

data-science-ml-full-stack-2022

Everything you need to know for data science.

data-science-notes

数据科学的笔记以及资料搜集

data_science_capstone_coursera_ibm

IBM Coursera Project

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearningexperiments

Blog @ Medium

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dwpose

Official implementation of the paper "Effective Whole-body Pose Estimation with Two-stages Distillation"