hongkunz's repositories
100daysofcode-with-python-course
Course materials and handouts for #100DaysOfCode in Python course
awesome-complexity
A curated list of amazingly awesome Complexity Science resources, courses and shiny things
awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
book-nonlinear-dynamics-chaos
Code (mostly plots) created while following "Nonlinear Dynamics and Chaos" by Steven Strogatz
chaotic-gfnn
Predicting the evolution of chaotic systems with neural networks
cplot
:rainbow: Plot complex functions
curso-ciencia-datos
Curso de Ciencia de datos
deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
deep-rl-class
This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.
deep2Read
https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and related.
deepschool.io
Deep Learning tutorials in jupyter notebooks.
Emotion-EEG
Public Models considered for emotion estimation from EEG
Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
hongkunz
Config files for my GitHub profile.
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
MachineLearning
Codes for Machine Learning
MathEpiDeepLearning
Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.
Python
All Algorithms implemented in Python
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
QuantumKatas
Tutorials and programming exercises for learning Q# and quantum computing
reading-group
Discussions on papers, frameworks, blogs and ideas every Saturday.
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
spacetimeformer
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
StockPrediction
Hobby project in time series analysis with stock market data by comparing different methods for time series prediction, including ARIMA, SARIMAX, LSTM, and transformer.
symplectic-shadow-integration
Accompanying source code to paper "Symplectic integration of learned Hamiltonian systems"
Theories-of-Quantum-Matter
Material for the course Theories of Quantum Matter at the University of Cambridge
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai