Linbo He's starred repositories
benchmark_results
Visual Tracking Paper List
python-patterns
A collection of design patterns/idioms in Python
data-science
📊 Path to a free self-taught education in Data Science!
PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
awesome-text-summarization
A curated list of resources dedicated to text summarization
handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
awesome-deep-learning-papers
The most cited deep learning papers
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
opencv-machine-learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
vehicle-detection
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.