zhaochengHuang
I am currently a Postdoctoral Fellow at UNSW. My research interests include speech signal processing, affective computing and machine learning.
Pinned Repositories
acoustic-simulator
Implementation of audio degradation processes
algorithm-pattern
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
alveo-galaxy-tools
Tools for handling language data and interfacing to Alveo on the Galaxy Workflow Platform
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
DeepLearningFrameworks
Demo of running NNs across different frameworks
HSD-Clubhouse
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.
lectures
Oxford Deep NLP 2017 course
ML-From-Scratch
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.
zhaochengHuang's Repositories
zhaochengHuang/acoustic-simulator
Implementation of audio degradation processes
zhaochengHuang/algorithm-pattern
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
zhaochengHuang/alveo-galaxy-tools
Tools for handling language data and interfacing to Alveo on the Galaxy Workflow Platform
zhaochengHuang/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
zhaochengHuang/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
zhaochengHuang/DeepLearningFrameworks
Demo of running NNs across different frameworks
zhaochengHuang/HSD-Clubhouse
zhaochengHuang/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.
zhaochengHuang/lectures
Oxford Deep NLP 2017 course
zhaochengHuang/ML-From-Scratch
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.
zhaochengHuang/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
zhaochengHuang/practical-pytorch
PyTorch tutorials demonstrating modern techniques with readable code
zhaochengHuang/Python
All Algorithms implemented in Python
zhaochengHuang/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
zhaochengHuang/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
zhaochengHuang/s3prl
Self-Supervised Speech Pre-training and Representation Learning Toolkit.
zhaochengHuang/starter-academic
zhaochengHuang/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
zhaochengHuang/the-unix-workbench
:house_with_garden: A Book for Anyone to Get Started with Unix
zhaochengHuang/zhaochenghuang.github.io