Machine Learning · GitHub

An E(3) equivariant Graph Neural Network for predicting electronic Hamiltonian matrix

Implements pytorch code for the Accelerated SGD algorithm.

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

【火炉炼AI】-机器学习系列文章

This is the repository for the manuscript - A graph neural network to predict protein-protein inter- actions using curvature and potential as node-features.

Bayesian Machine Learning

:wave: :ok_hand: research codebase for depth-based hand pose estimation using dynamics based tracking and CNNs

TKAN: Temporal Kolmogorov-Arnold Networks

Starter app for fastai v3 model deployment on Render

The PyTorch implementation for paper "Neural Texture Extraction and Distribution for Controllable Person Image Synthesis" (CVPR2022 Oral)

Human Activity Recognition based on WiFi Channel State Information

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Minimalist implementation of a BERT Sentence Classifier with PyTorch Lightning, Transformers and PyTorch-NLP.

medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis

Exercises and solutions to Stanford CS229 Machine Learning in Python

"Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver

👁 Sightseer: TensorFlow library for state-of-the-art Computer Vision and Object Detection models

Solution to CS231n Assignments 2019

Tensorflow implementation of Swin Transformer model.

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks