rui-sz's Projects
ABTest is a complicated topic, which deserves a single project to elaborate it systematically.
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
Code for ALBEF: a new vision-language pre-training method
An experimental open-source attempt to make GPT-4 fully autonomous.
List of tools & datasets for anomaly detection on time-series data.
ChatGLM-6B Prompt Engineering Project
基于ChatGLM-6B模型,进行下游具体任务微调,涉及Freeze、Lora、P-tuning等
中文langchain项目|小必应,Q.Talk,强聊,QiangTalk
Interact your data and environment using the local GPT, no data leaks, 100% privately, 100% security
《Designing Data-Intensive Application》DDIA中文翻译
End-to-End Object Detection with Transformers
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
Implementation of Graph Convolutional Networks in TensorFlow
Graph Neural Networks for Social Recommendation, WWW'19
Representation learning on large graphs using stochastic graph convolutions.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
langchain-ChatGLM, local knowledge based ChatGLM with langchain | 基于本地知识库的 ChatGLM 问答
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
每周论文学习记录
吴恩达大模型系列课程中文版,包括《Prompt Engineering》、《Building System》和《LangChain》
Graph Convolutional Networks in PyTorch
RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/
rui
豆瓣电影/豆瓣读书 Scarpy 爬虫
Graph Convolutional Networks for Text Classification. AAAI 2019
基于TF2实现的 transformer translator, github 上没找到,就写一个吧
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.