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The University of Sheffield
- Sheffield, UK
- https://shuo-zhou.github.io/
- https://orcid.org/0000-0002-8069-2814
Highlights
- Pro
Stars
A tool for AI-assisted meta-review of scientific papers
COM6012 Scalable Machine Learning - University of Sheffield. Enjoy our resources? ⭐ Star this repository to show your support and help others discover it!
Foundation Models for Genomics & Transcriptomics
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Pre-built components and code samples to help you build and deploy production-grade AI applications with the OpenVINO™ Toolkit from Intel
This repository collects all relevant resources about interpretability in LLMs
A game theoretic approach to explain the output of any machine learning model.
Legacy repo - Teaching materials for module COM6012 Scalable Machine Learning, University of Sheffield
PyTorch implementation of "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" from Meta AI
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
An Autonomous LLM Agent for Complex Task Solving
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Group-specific discriminant analysis for sex differences in lateralization of brain functional network
Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
QLoRA: Efficient Finetuning of Quantized LLMs
ModelScope: bring the notion of Model-as-a-Service to life.
pytorch implementation for Contrastive Adaptation Network
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A playbook for systematically maximizing the performance of deep learning models.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023