Z.C's repositories
Trajectory-Transformer
Code for "Transformer Networks for Trajectory Forecasting"
AttnMove
This is for AAAI2020 submission #9808
Awesome-Interaction-aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
course20
Deep Learning for Coders, 2020, the website
DeepFEC
Energy Consumption Prediction under Real-World Driving Conditions for Smart Cities
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
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
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-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
pytorch_federated_learning
PyTorch Federated Learning
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.
simhash
A Python Implementation of Simhash Algorithm
ST2Vec
Source code for Spatio-Temporal Trajectory Similarity Learning in Road Networks. KDD 2022.
TMN
Under Construction
TrajCL
Contrastive Trajectory Similarity Learning with Dual-Feature Attention (TrajCL) - ICDE 2023
TransGAN
[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
VED
VED (Vehicle Energy Dataset): A Large-scale Dataset for Vehicle Energy Consumption Research. (IEEE Transactions on Intelligent Transportation Systems, 2020)