Zhaokun Zhou's repositories
spikformer
ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer
spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
apollo
An open autonomous driving platform
AutoEncoder-KMeans
reduce the dimension of images and cluster
Awesome-Interaction-aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
baby-llama2-chinese
用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Spike-Driven-Transformer
Spike-Driven Transformer
Graphormer
This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".
Multiverse
Dataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction"
Phase-based-Frame-Interpolation
Frame interpolation
snntorch
Deep and online learning with spiking neural networks in Python
Social-STGCNN
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
sophie
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
STSGCN
PyTorch implementation of Spatial-Temporal Synchronous Graph Convolutional Networks
T2T-ViT
ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Trajectron
Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.
VideoPrediction-ICLR2016-
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.