A guide to crushing tech interviews.

Google BigQuery Tutorial for Data Analyst

Hierarchical Gating Networks for Sequential Recommendation

Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei

Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)

Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo

Adaptive Experimentation Platform

一个面向初学者的，友好的Keras入门教程

Introduction to Linear Programming with Python

Numba tutorial for GTC2019

This repository provides the necessary code to create your own Google Images Dataset.

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

Data & Code associated with my tutorial on the sci-kit learn machine learning library in python

Code release for Hu et al. Natural Language Object Retrieval, in CVPR, 2016

A complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.

Contrastive PCA

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

The deeplearning algorithms implemented by tensorflow

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg