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airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

asrt_speechrecognition123

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

awesome-knowledge-distillation

Awesome Knowledge Distillation

blog_others

deep-reinforcement-learning-algorithms-with-pytorch

Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, DQN, PPO, DDPG, TD3, SAC, ASL)

deepg

Certifying Geometric Robustness of Neural Networks

densenet-tensorflow

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

feature-selection

Top-k Feature Selection Framework Using Robust 0-1 Integer Programming

fixmatch

A simple method to perform semi-supervised learning with limited data.

highwayenv

A minimalist environment for decision-making in autonomous driving

kdd2019_k-multiple-means

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

machine-learning-notes

This contains my machine learning notes in latex form

meidtm-instance-dependent-label-noise-learning-with-manifold-regularized-transition-matrix-estimatio

pytorch

minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

python-machine-learning-algorithm

Python-Machine-Learning-Algorithm

python-sparse-subspace-clustering-admm

Python sparse subspace clustering ADMM Only numpy package is used. I just rewritten the matlab version of the code All creadit to the authors of Sparse Subspace Clustering Algorithm, Theory, and Applications Ehsan Elhamifar, Student Member, IEEE, and Ren´e Vidal, Senior Member, IEEE

pytorch-faster-rcnn

pytorch1.0 updated. Support cpu test and demo.

shufflenet

ShuffleNet Implementation in TensorFlow

shufflenet-v2-tensorflow

Tensorflow ShuffleNet v2 implementation

sparse-adversarial-attack

Implementation of ECCV 2020 "Sparse Adversarial Attack via Perturbation Factorization"

sparse-rs

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

ssd-pytorch

SSD目标检测算法(Single Shot MultiBox Detector)(简单,明了,易用,全中文注释,单机多卡训练,视频检测)( If you train the model on a single computer and mutil GPU, this program will be your best choice , easier to use and easier to understand )

table-transformer

Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.

tf-tutorials

A collection of deep learning tutorials using Tensorflow and Python

topkfscode

trajformer

Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)

transformation-smoothing

Randomized Smoothing for Parametric (Image) Transformations

uniad

[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving