Tom Cheng's Projects
This is the code for the "Make a Neural Network" - Intro to Deep Learning #2 by Siraj Raval on Youtube
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Code samples for my book "Neural Networks and Deep Learning"
Detailed notes and codes on learning pandas quickly for machine learning.
PyTorch Implementation of PIXOR
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PyTorch tutorials demonstrating modern techniques with readable code
📚 A practical approach to machine learning.
Production Data Science: a workflow for collaborative data science aimed at production
Deep universal probabilistic programming with Python and PyTorch
Python best practices guidebook, written for Humans.
Geometric Deep Learning Extension Library for PyTorch
Simple PyTorch Tutorials Zero to ALL!
A collection of Jupyter notebooks using Qiskit
Improved matplotlib for statistical data visualization
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Simple tutorials using Google's TensorFlow Framework
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Tonic RL library
Starter project code for students taking Udacity ud120
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)