richomelbds Goto Github PK
Name: Richard Yang
Type: User
Bio: Masters Student - University of Melbourne - Leetcode master incoming
Location: Australia
Name: Richard Yang
Type: User
Bio: Masters Student - University of Melbourne - Leetcode master incoming
Location: Australia
A curated list of awesome computer vision resources
code tidbits from my blog posts
A complete computer science study plan to become a software engineer.
Hypergraph Edge Prediction
COMP90024 - Cluster and Cloud Computing - 2020S1 - Exam review/summary sheet [past exam solutions by Richard in recordings integrated]
Materials for SML 2020 S1
Conditional RNNs made easy with Tensorflow and Keras.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Machine Learning Algorithms for Portfolio Analysis & Trading
Python library for building highly effective data science workflows
Books for machine learning, deep learning, math, NLP, CV, RL, etc
Notes and coding exercises from the various lessons in Udacity's Deep Learning Nanodegree Foundation
Deep Learning Examples
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
List of Data Science Cheatsheets to rule the world
TensorFlow examples
Example deep learning projects that use wandb's features.
Implementation of Graph Convolutional Networks in TensorFlow
Keras implementation of Graph Convolutional Networks (but more readable)
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
Traffic Graph Convolutional Recurrent Neural Network
Build a Jekyll blog in minutes, without touching the command line.
Pool-based active learning in Python
Various Machine Learning Case Studies
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Machine Learning and Computer Vision Engineer - Technical Interview Questions
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.