머신러닝 · GitHub

Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)

Here lies all the exercises I implement and share in my website

This is the simplest implementation of Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems using keras.

Source code in ebook Machine Learning

A list of Graph Causal Learning materials.

Machine Learning in Action学习笔记，一个文件夹代表一个算法，每个文件夹包含算法所需的数据集、源码和图片，图片放在pic文件夹中，数据集放在在Data文件夹内。书中的代码是python2的，有不少错误，这里代码是我用python3写的，且都能直接运行

TensorNet (TensorFlow implementation)

Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.

A Tensorflow 2.0 implementation of TabNet.

Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support

This repository is based on AI and Machine learning for Coders book, I note my knowledge I have learned from the book in Vietnamese.

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)

google tensorflow deep learning for big data examples

Auto transcribe tool based on whisper

How to do Unsupervised Clustering with Keras

Torch7: state-of-the-art machine learning algorithms

PyTorch implementation of GAIL and AIRL based on PPO.

Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

TensorFlow分布式MNIST手写字体识别实例

Code repository for the online course "Feature Engineering for Time Series Forecasting".