alexis-jacq / Pytorch Tutorials

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

Four Courses Specialization Tensorflow in practise Specialization

Machine learning lessons and teaching projects designed for engineers

Short Course - Applied Machine Learning for Risk Management

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python

For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Various material around private machine learning, some associated with blog

Codes for my mathematical statistics course

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

Four-in-one deep network: image search, image captioning, similar words and similar images using a single model

Use the TPC-DS benchmark to test Spark SQL performance

How to Win a Data Science Competition: Learn from Top Kagglers