面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

The repository provides code for running inference with the SAM 3D Body Model (3DB), links for downloading the trained model checkpoints and datasets, and example notebooks that show how to use the…

Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2019 paper with some other (Python) implemented prediction mo…

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

pinsage for wine recommendation

Versatile End-to-End Recommender System

Simple reference implementation of GraphSAGE.

SiamRPN, SiamRPN++, unofficial implementation of "SiamRPN++" (CVPR2019), multi-GPUs, LMDB.

(2020-2022)The PyTorch version of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based on…

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

Representation learning on large graphs using stochastic graph convolutions.

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

Implementation and experiments of graph embedding algorithms.

A unified, comprehensive and efficient recommendation library

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

Implementation of Graph Convolutional Networks in TensorFlow

[ICCV 2025] UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions

The official implementation for the paper [ODTrack: Online Dense Temporal Token Learning for Visual Tracking].

[ICLR 2025] OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Open Vision Agents by Stream. Build voice and vision agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency.

The easiest way to get started with PostgreSQL on the Mac

PyTorch implementation of paper "ARTrack" and "ARTrackV2"

Visual Object Tracking

[ECCV 2024] Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance