dirtscraper Goto Github PK
Name: Holla
Type: User
Name: Holla
Type: User
Minimal examples of data structures and algorithms in Python
A curated list of awesome Deep Learning tutorials, projects and communities.
This repository contains information about Cloud GPU offerings for Machine Learning practitioners.
Repo for coursera specialization Applied Data Science with Python by University of Michigan
Quiz Answers, Assessments, Programming Assignments for the Linear Algebra course.
Deep Learning Specialization by Andrew Ng on Coursera.
Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN
A collection of various deep learning architectures, models, and tips
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.
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Docker compose files for kafka Cluster
Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in Keras
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
A command-line tool for launching Apache Spark clusters.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Introduction to Statistics using Python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A collection of useful resources for Machine Learning System Design
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
Using Kafka-Python to illustrate a ML production pipeline
Minimal and clean examples of machine learning algorithms implementations
Models and examples built with TensorFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.