README.md

Stanford CS224W Machine Learning with Graphs by Jure Leskovec

http://web.stanford.edu/class/cs224w/index.html

Codes from O'Reilly Book: Deep Learning for Life Science

Chapter 3: Machine Learning with DeepChem

A glance of the Tox21 dataset, simple usage for the DeepChem framework.

Chapter 4: Machine Learning for Molecules

Graph Convolutional Neural Networks for Molecule Property regression, and plotting molecular structure through RDKit.

Assignments of the Coursera Specialisation Advanced Machine Learning:

Course 1: Introduction to Deep Learning

Week 2: NumpyNN

Implement Neural Networks using pure Numpy. Improve the vanilla neural network using Xavier Initialisation so the model can converge even when the layer number is large (>5)

Week 3: Fine-tuning InceptionV3 for flowers classification

Week 4 Unsupervised representation learning

Assignment 1: Autoencoder

Encoder - Decoder architecture for peoples' faces. Include many interesting tasks (de-noise, finding similar faces, etc.)

Honour Assignment: Generative Adversarial Network

Week 5

Assignment 1: Generating names with RNNs

Assignment 2: More RNNs in Keras

Week 6

Image Captioning Final Project

Machine-learning-project

Machine Learning Projects and some Deep Learning Projects

09.26.2020 - Linear Regression & Gradient Descent

10.13.2020 - Gaussian Mixture Model Clustering