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2022_wsdm_iqiyi_retention_score_prediction

2022 WSDM 爱奇艺用户留存预测赛 第三名方案

agglomerator

Official code for "Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks" (CVPR2022)

ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

apollo

An open autonomous driving platform

artist

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking

arxiv-cvpr2022-daily

CVPR2022 update everyday!

awesome-implicit-representations

A curated list of resources on implicit neural representations.

awesome-radar-perception

A curated list of radar datasets, detection, tracking and fusion

bayesiantracker

Bayesian multi-object tracking

benchmark_vae

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

bevdet

Official code base of the BEVDet series .

bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

center-group

Official PyTorch implementation of "The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation" (ICCV 21).

centernet-better

An easy to understand and better performance version of CenterNet

convnext

Code release for ConvNeXt model

dall-e

PyTorch package for the discrete VAE used for DALL·E.

darts

A python library for easy manipulation and forecasting of time series.

data-structure

基于java语言的数据结构及算法实现,LeetCode算法示例

data_structure_note

《恋上数据结构》第1季度 + 第2季 完整学习笔记，从0实现的 Java 数据结构大全。

datastructures-and-algorithms-using-four-language

四种语言（Go，Javascript，Java，C）实现常用数据结构和算法。

dcfm

official repository for "Democracy Does Matter: Comprehensive Feature Mining for Co-salient Object Detection" --accepted by CVPR2022

ddia

《Designing Data-Intensive Application》DDIA中文翻译

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deeplearing-interview-awesome-2024

AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

deft

Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

detr

End-to-End Object Detection with Transformers

detr3d

diffusion-models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)