Richard Yang's repositories
awesome-computer-vision
A curated list of awesome computer vision resources
coding-interview-university
A complete computer science study plan to become a software engineer.
COMP90021_2021_SML_A1
Hypergraph Edge Prediction
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
d6tflow
Python library for building highly effective data science workflows
CS7646-ML4T
Machine Learning Algorithms for Portfolio Analysis & Trading
DeepLearningExamples
Deep Learning Examples
DeepLearningPython
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
examples
TensorFlow examples
examples-1
Example deep learning projects that use wandb's features.
gcn
Implementation of Graph Convolutional Networks in TensorFlow
GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
jalammar.github.io
Build a Jekyll blog in minutes, without touching the command line.
libact
Pool-based active learning in Python
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
OpenNE
An Open-Source Package for Network Embedding (NE)
practical-pytorch
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
Spatio-Temporal-papers
This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
temporal-gcn-lstm
Code for Characterizing and Forecasting User Engagement with In-App Action Graphs: A Case Study of Snapchat
tensor-house
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
what-happens-when
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"