Machine Learning · GitHub

A PyTorch implementation of a BiLSTM \ BERT \ Roberta (+ BiLSTM + CRF) model for Chinese Word Segmentation (中文分词) .

Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.

Deep Learning for Astronomers with Keras

A data-driven line extractor for 2D anime, manga and illustration using Keras.

Completely free access list of resources to learn machine learning and deep learning👨🏻‍💻🚀

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Building Agents with Imagination: pytorch step-by-step implementation

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

MoDL: Model-Based Deep Learning Architecture for Inverse Problems

[NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"

VggML (ICPR 2018, Beijing)

Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation

Deep learning-based mobile model deployment(Object Tracking). Lightweight Object Tracking, NCNN,

中文垃圾短信识别(手写分类器)

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository

[NeurIPS 2025] Official PyTorch implementation of paper "CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up".

网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及代码。下为网易云学习链接

Code for AAAI 2020 paper, Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks (Disout).

:art: Deep Fusion Network for Image Completion - ACMMM 2019

Semantic search for images and words using neural networks.

:see_no_evil:A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." （ECCV 2014)

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.