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algorithms icon algorithms

Minimal examples of data structures and algorithms in Python

cloud-gpus icon cloud-gpus

This repository contains information about Cloud GPU offerings for Machine Learning practitioners.

deeplab_v3 icon deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

deeplearning.ai-summary icon 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.

dl-docker icon dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

dlwpt-code icon dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

fast-neural-style icon fast-neural-style

Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in Keras

flintrock icon flintrock

A command-line tool for launching Apache Spark clusters.

handson-ml icon handson-ml

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

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

machine-learning-interview icon machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

ml-from-scratch icon ml-from-scratch

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.

ml_pipelines icon ml_pipelines

Using Kafka-Python to illustrate a ML production pipeline

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

models icon models

Models and examples built with TensorFlow

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