z-c-for-school Goto Github PK

042-trajgat-a-graph-based-long-term-dependency-modeling-approach-for-trajectory-similarity-computat

attnmove

This is for AAAI2020 submission #9808

awesome-interaction-aware-trajectory-prediction

A selection of state-of-the-art research materials on trajectory prediction

awesome-trajectory-prediction

course20

Deep Learning for Coders, 2020, the website

deepfec

Energy Consumption Prediction under Real-World Driving Conditions for Smart Cities

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

e2dtc

Source code for E2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training. ICDE 2021.

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fast-transformers

Pytorch library for fast transformer implementations

fastdtw

A Python implementation of FastDTW

flow

Computational framework for reinforcement learning in traffic control

gnnpapers

Must-read papers on graph neural networks (GNN)

graph2seq

Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

matplotlib-cheatsheet

Matplotlib 3.1 cheat sheet.

my_remote

my_test

periodicmove

This is the source code for “PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network” accepted by CIKM 2021.

pydp

The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pytorch-doc-zh

Pytorch 中文文档

pytorch-tutorial

Build your neural network easy and fast, 莫烦Python中文教学

pytorch_federated_learning

PyTorch Federated Learning

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

pytorchdocs

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

rwkv-lm

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.