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self-driving-car

The Udacity open source self-driving car project

self-driving-cars

Coursera Open Courses from University of Toronto

seq2seq_chatbot

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

shapecompletion3dtracking

Code for Leveraging Shape Completion for 3D Siamese Tracking

socialways

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs

social_lstm_keras_tf

Social LSTM with Tensorflow (Please see `renew` branch now)

spectral-trajectory-and-behavior-prediction

This is the code base for Trajectory and Driver Behavior Prediction in Autonomous Vehicles using Spectral Graph Theory

speech-to-text

speechbrain

A PyTorch-based Speech Toolkit

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

stip

str-pip

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction

tempera

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

tf2rl-2022-5-23

TensorFlow2 Reinforcement Learning

tf_chatbot_seq2seq_antilm

Seq2seq chatbot with attention and anti-language model to suppress generic response, option for further improve by deep reinforcement learning.

torch-lrcn

An implementation of the LRCN in Torch

tracknpred

This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.

transformer-tf2

🤖 Transformer implemented as Tensorflow 2.0

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transformers-metarl

Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022

tutorials

机器学习相关教程

uda

Unsupervised Data Augmentation (UDA)

uda-1

Unsupervised Domain Adaptation for Computer Vision Tasks

uda_pytorch

UDA(Unsupervised Data Augmentation) implemented by pytorch

uma-mot

A Unified Object Motion and Affinity Model for Online Multi-Object Tracking (CVPR2020)

vc-r-cnn

[CVPR 2020] The official pytorch implementation of ``Visual Commonsense R-CNN''

vehicle-trajectory-prediction-on-ngsim

video-classification

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

video-classification-action-recognition

some famous works and new content to be added