Kunlun Zhu's Projects
kaggle- competitions Rotten Tomatoes dataset
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å大åĻ莥įŽæēįŗģčį æģįĨ Guidance for postgraduate entrance examination in Department of Computer Science and Technology, Tsinghua University
AbLang: A language model for antibodies
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
Jekyll website template for personal academic or research group web pages.
Huggingface Transformers + Adapters = â¤ī¸
Open-source implementation of Google Vizier for hyper parameters tuning
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
A Comprehensive Benchmark to Evaluate LLMs as Agents
TF-Agents is a library for Reinforcement Learning in TensorFlow
đ¤ AgentVerse đĒ provides a flexible framework that simplifies the process of building custom multi-agent environments for large language models (LLMs).
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery đ§âđŦ
A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.
Early solution for Google AI4Code competition
ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
Instruct-tune LLaMA on consumer hardware
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Amazon Alexa assistant
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)
An open autonomous driving platform
Codes for our paper at EMNLP2019
A Tensorflow implementation of the Neural Algorithm of Artistic Style
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.