- Singapore
- https://lesliewongcv.github.io/
Stars
基于 Playwright 和AI实现的闲鱼多任务实时/定时监控与智能分析系统,配备了功能完善的后台管理UI。帮助用户从闲鱼海量商品中,找到心仪产品。
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
mall项目是一套电商系统,包括前台商城系统及后台管理系统,基于Spring Boot+MyBatis实现,采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Master programming by recreating your favorite technologies from scratch.
一些大语言模型和多模态模型的生态,主要包括跨模态搜索、投机解码、QAT量化、多模态量化、ChatBot、OCR
A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
Python library for processing Chinese text
Faster Whisper transcription with CTranslate2
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
MiniCPM5-1B: A SOTA 1B on-device LLM, small yet powerful.
[ACM'MM 2024 Oral] Official code for "OneChart: Purify the Chart Structural Extraction via One Auxiliary Token"
GPT4V-level open-source multi-modal model based on Llama3-8B
A high-throughput and memory-efficient inference and serving engine for LLMs
The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
This Inventory management system is the currently Ford Asia Pacific after-sales logistics warehousing supply chain process . After I leave Ford , I start this project . You can share your vacant wa…
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
【TMM 2025🔥】 Mixture-of-Experts for Large Vision-Language Models
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities