richomelbds Goto Github PK

abhat222-data-science--cheat-sheet

awesome-computer-vision

A curated list of awesome computer vision resources

blog_code

code tidbits from my blog posts

coding-interview-university

A complete computer science study plan to become a software engineer.

comp90021_2021_sml_a1

Hypergraph Edge Prediction

comp90024-ccc-notes

COMP90024 - Cluster and Cloud Computing - 2020S1 - Exam review/summary sheet [past exam solutions by Richard in recordings integrated]

comp90051_2020_s1

Materials for SML 2020 S1

cond_rnn

Conditional RNNs made easy with Tensorflow and Keras.

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

cs7646-ml4t

Machine Learning Algorithms for Portfolio Analysis & Trading

d6tflow

Python library for building highly effective data science workflows

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc

deep-learning-nd-exercises

Notes and coding exercises from the various lessons in Udacity's Deep Learning Nanodegree Foundation

deeplearningexamples

Deep Learning Examples

deeplearningpython

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

examples

TensorFlow examples

examples-1

Example deep learning projects that use wandb's features.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn-tutorial

Keras implementation of Graph Convolutional Networks (but more readable)

gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

graph_convolutional_lstm

Traffic Graph Convolutional Recurrent Neural Network

jalammar.github.io

Build a Jekyll blog in minutes, without touching the command line.

learning_git

libact

Pool-based active learning in Python

machine-learning-case-studies

Various Machine Learning Case Studies

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

machine-learning-exams

This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions