Pinned Repositories
3dcnn
acapellabot
Acapella Extraction with a ConvNet
Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
BEGAN-tensorflow
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
ecg-mit-bih
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at
keras-flask-deploy-webapp
:smiley_cat: Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
Python-algorithm-study
What I made while studied Problem Solving with Algorithms and Data Structures using Python Also include some solutions of exercises or quizzes
pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
Study-of-David-Mackay-s-book-
David Mackay's book review and problem solvings and own python codes, mathematica files
physhik's Repositories
physhik/ecg-mit-bih
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at
physhik/Study-of-David-Mackay-s-book-
David Mackay's book review and problem solvings and own python codes, mathematica files
physhik/Python-algorithm-study
What I made while studied Problem Solving with Algorithms and Data Structures using Python Also include some solutions of exercises or quizzes
physhik/pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
physhik/3dcnn
physhik/acapellabot
Acapella Extraction with a ConvNet
physhik/BEGAN-tensorflow
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
physhik/keras-flask-deploy-webapp
:smiley_cat: Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
physhik/COVID19-SIR
COVID-19 SIR model estimation
physhik/data-science-from-scratch
code for Data Science From Scratch book
physhik/dcgan
A Tensorflow Implementation of "Deep Convolutional Generative Adversarial Networks" - (EASY to READ)
physhik/DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
physhik/DeepMind-Atari-Deep-Q-Learner
The original code from the DeepMind article + my tweaks
physhik/DeepSeek-V3
physhik/dgp
physhik/Dynamic-Tensorflow-Tutorial
Tensorflow tutorial of building different dynamic recurrent neural network
physhik/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
physhik/genreXpose
Automated music genre classification using machine learning
physhik/gtzan.keras
[REPO] Music Genre classification on GTZAN dataset using CNNs
physhik/holy-edge
Holistically-Nested Edge Detection
physhik/Janus
Janus-Series: Unified Multimodal Understanding and Generation Models
physhik/pathintegral-qmc
A path-integral quantum Monte Carlo code for simulating quantum annealing with arbitrary Ising Hamiltonians.
physhik/physhik.github.io
physhik/pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
physhik/progressive-growing-torch
Torch implementation of "PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION"
physhik/progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
physhik/reinforcement-learning-car
Using reinforcement learning to teach a car to avoid obstacles.
physhik/stylish-portfolio-jekyll
A Jekyll implementation of the Stylish Portfolio template by Start Bootstrap
physhik/tutorial-extensions
Additional tasks for tutorial
physhik/UNIT