zhangjiekui Goto Github PK

gatne

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

gekko

GEKKO Python for Machine Learning and Dynamic Optimization

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

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.

gfa-cnn

The tensorflow code for our "Learning Generalizable and Identity-Discriminative Representations forFace Anti-Spoofing" (GFA-CNN)

github520

:kissing_heart:让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。

glm

GLM (General Language Model)

gpt2-chinese

Chinese version of GPT2 training code, using BERT or BPE tokenizer.

gpt2-chitchat

GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型

graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

graphembedding

Implementation and experiments of graph embedding algorithms.

graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material discovery, drug discovery, etc.

graphsage-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

gridstudio

Grid studio is a web-based application for data science with full integration of open source data science frameworks and languages.

gru-d

Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

har-stacked-residual-bidir-lstms

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

helstm

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and MXNet.

human

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gesture Recognition

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

i3d_finetune

TensorFlow code for finetuning I3D model on UCF101.

icu-mortality-forecast

ICU死亡率预测

idcard_deeplearning

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

incubator-predictionio-sdk-python

PredictionIO Python SDK

incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

insightface

Face Recognition Project on MXNet

jd

JData京东算法大赛入门程序