Instruct-tune LLaMA on consumer hardware

links to conference publications in graph-based deep learning

Data augmentation for NLP

骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…

Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

The hub for EleutherAI's work on interpretability and learning dynamics

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

Stanford CS231n assignment in 2019 spring

Use BiLSTM_attention, BERT, ALBERT, RoBERTa, XLNet model to classify the SST-2 data set based on pytorch

Use deep models including BiLSTM, ABCNN, ESIM, RE2, BERT, etc. and evaluate on 5 Chinese NLP datasets: LCQMC, BQ Corpus, ChineseSTS, OCNLI, CMNLI

使用MovieLens数据集实现了基于Auto Encoder(AE), Variational Auto Encoder(VAE), BERT的深度学习电影推荐系统

This repo contains my reimplementation and improvement of DeepLOB model.

a deep learning tutorial containing FNN, CNN, RNN, XAI, VAE, GAN, etc.