techinai Goto Github PK

7ayden.github.io

aleo-deploy-workshop

awesome-machine-learning

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

awesome-rl

Reinforcement learning resources curated

carnd-lanelines-p1-solution

Udacity self-driving car nanodegree project 1: finding lane lines with Canny edge detection and Hough transforms.

carnd-traffic-sign-classifier-project

Traffic sign recognition using TensorFlow

carnd-vehicle-detection-p5-solution

Udacity self-driving car nanodegree Project 5: training a support vector machine to identify and track cars in highway footage.

coursework

summer school coursework

customer_segments

Segmentation and Clustering to find patterns and structures in unlabeled data, perform feature transformations and improve the predictive performance of your models.

data-analysis-with-r

data-science-primer

A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/

datacamp

datasci_intensive

datascienceresources

Open Source Data Science Resources.

datasharing

The Leek group guide to data sharing

dataweek-workshop

Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.

deeplearning.ai

In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI. Created by: Deeplearning.AI

eda_r_udacity

Udacity Exploratory Data Analysis with R class work

fashionllm

Ai based Fashion api for custom fashion designs

front-end-developer-interview-questions

A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.

frontend-nanodegree-resume

getting-and-cleaning-data-peer-assignment-

gl

go

The Open Source Data Science Masters

hkcovid19

homebrew-python

Python formulae for Homebrew

imggensd2

An iOS app that generates images using Stable Diffusion v2.

intro_to_ml

Cloud Academy - intrp tp machine learning teaching materials

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

javascript-koans

Koans to learn Javascript