qingruzhang Goto Github PK
Name: Qingru Zhang
Type: User
Company: Georgia Institute of Technology
Bio: ML Ph.D. Student @ Georgia Tech
Location: Atlanta, USA
Name: Qingru Zhang
Type: User
Company: Georgia Institute of Technology
Bio: ML Ph.D. Student @ Georgia Tech
Location: Atlanta, USA
AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).
The original implementation of the experiments in the paper of AdaShift (See https://arxiv.org/abs/1810.00143)
Robust recipes to align language models with human and AI preferences
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
上海交通大学网安学院本科编程作业参考
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
Data Mining Project: extract raw data from LianJia; data proprocess and feather engineering; build model with MLP and BiLSTM.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
A framework for few-shot evaluation of language models.
Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
Code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" (ICLR 2024)
MARL for autonomous vehicles.
The MATH Dataset (NeurIPS 2021)
Neural network visualization designer.
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & Mixtral)
PASTA: Post-hoc Attention Steering for LLMs
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).
Reformatted Alignment
A web packet sniffer by python, it is the final course design for my Computer Network Course.
The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”
Code for "Learning to summarize from human feedback"
A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, llama.cpp (GGUF), Llama models.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.