himidev Goto Github PK

activityforecasting_python

Python implementation of Activity Forecasting (Kitani et al. 2012).

annotated-sdd

This dataset used by visapp2019.

arbitrary-text-to-image-papers

A collection of arbitrary text to image papers with code (constantly updating)

awesome-interaction-aware-trajectory-prediction

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

awesome-mlp-papers

Recent Advances in MLP-based Models (MLP is all you need!)

awesome-trajectory-prediction

chainer-handson

Self-learning hands-on for Chainer by Jupyter notebook

chainer_realtime_multi-person_pose_estimation

Chainer version of Realtime Multi-Person Pose Estiamtion

cidnn

CIDNN: Encoding Crowd Interaction with Deep Neural Network

clearmap2

ClearMap 2.0 with WobblyStitcher, TubeMap and CellMap

constant_velocity_pedestrian_motion

Code for "The Simpler the Better: Constant Velocity for Pedestrian Motion Prediction", Schöller et al., arXiv 2019

conv-social-pooling

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

daily-neural-network-practice-3

Daily Neural Network Practice Season 3! ( Finishing up Masters)

ddad

Dense Depth for Autonomous Driving (DDAD) dataset.

deep_learning_object_detection

A paper list of object detection using deep learning.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

ganhacks

starter from "How to Train a GAN?" at NIPS2016

googlecolabnotebooks

Jupyter notebooks (Google Colab) for deep learning lectures

himidev.github.io

hypertools

A Python toolbox for gaining geometric insights into high-dimensional data

l5kit

L5Kit - level5.lyft.com

lecture

loss-landscapes

Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch

mprgdeeplearninglecturenotebook

multiverse

Dataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction"

my_notebook

サイエンス、テクノロジー、エンジニアリング関連の情報を記載したノート（忘備録）です。

next-prediction

Code and model for "Peeking into the Future: Predicting Future Person Activities and Locations in Videos", Liang et al, CVPR 2019

numpy-100

100 numpy exercises (with solutions)

nuscenes-devkit

Devkit for the public 2019 Lyft Level 5 AV Dataset (fork of https://github.com/nutonomy/nuscenes-devkit)