Pinned Repositories
cs231n.github.io
Public facing notes page
kaggle-talkingdata-visualization
Source code for blog post: Interactive Data Visualization of Geospatial Data using D3.js, DC.js, Leaflet.js and Python
mongo-overflow
Learning project that aims to build a StackOverflow clone with mongoDB and Flask
neuralnets
Deep Learning libraries tested on images and time series
python-generator-coroutine-examples
Multiple coroutine examples implemented by generators.
speed-limit-signs
Identifying Speed Limits using CNNS
m7catsue's Repositories
m7catsue/cs231n.github.io
Public facing notes page
m7catsue/neuralnets
Deep Learning libraries tested on images and time series
m7catsue/speed-limit-signs
Identifying Speed Limits using CNNS
m7catsue/500lines
500 Lines or Less
m7catsue/algorithms
Minimal examples of data structures and algorithms in Python
m7catsue/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
m7catsue/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
m7catsue/dashboard
My dashboard demo for data visualization
m7catsue/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
m7catsue/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
m7catsue/fake-useragent
up to date simple useragent faker with real world database
m7catsue/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
m7catsue/flasky_microblog
A microblog web application based on Flask
m7catsue/got_images
GOT Images
m7catsue/LearnPython
以撸代码的形式学习Python
m7catsue/lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
m7catsue/luokr.com
Python-based blog using tornado and bootstrap framework（螺壳网）
m7catsue/MarcLaidlaw-Epistle3
Just being archived for posterity.
m7catsue/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
m7catsue/ML-From-Scratch
Bare bones Python implementations of some of the foundational Machine Learning models and algorithms.
m7catsue/modern-nlp-in-python
m7catsue/nlp-tutorial
Tutorial: Natural Language Processing in Python
m7catsue/py_ml_utils
Python utilities for Machine Learning competitions
m7catsue/PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
m7catsue/pytrends
Pseudo API for Google Trends
m7catsue/Scrapy_douban_movie
Crawl Douban Movie with Scrapy Framework (Python 2.7)
m7catsue/server-error-pages
Easy to use, professional error pages to replace the plaintext error pages that come with any server software like Nginx or Apache
m7catsue/Sign-DouYin
Douyin/抖音/tiktok signature algorithm for as/cp/mas parameters
m7catsue/simple-neural-network
A simple Python script showing how the backpropagation algorithm works.
m7catsue/Snapshot-Ensembles
Snapshot Ensemble in Keras