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Tencent
- Shenzhen, China
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15:16
(UTC +08:00)
Stars
Official repo for the paper "Multimodal Phased Transformer for Sentiment Analysis".
An open platform for building, extending, and experimenting with scientific agents.
Lumina-DiMOO - An Open-Sourced Multi-Modal Large Diffusion Language Model
[TKDE2025] Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on large language model-based …
MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE
Res-SAM Framework for GPR Underground Hazard Detection
Intelligent Mixture-of-Models Router for Efficient LLM Inference
JavaScript Runtime Environment In Embedded Device
Code repository for a potential journal publication
Focus on Linux C2. The open source part is reverse shell management.
A collection of diffusion inversion methods.
Awesome collection of resources and papers on Diffusion Models for Robotic Manipulation.
Official implementation for "HA-VLN: A Benchmark for Human-Aware Navigation in Discrete-Continuous Environments with Dynamic Multi-Human Interactions, Real-World Validation, and an Open Leaderboard".
Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes
Manages Unified Access to Generative AI Services built on Envoy Gateway
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
( TPAMI2022 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
Nexent is a zero-code platform for auto-generating agents — no orchestration, no complex drag-and-drop required. Nexent also offers powerful capabilities for agent running control, data processing …
The code for the paper "Conditional Temporal Variational AutoEncoder for Action Video Prediction“
[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (Verifier-Powered RLVR for Search with Minimal Data)