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accessibility-test-framework-for-android

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

alpaca-cot

We extend CoT data to Alpaca to boost its reasoning ability. We are constantly expanding our collection of instruction-tuning data, and integrating more LLMs together for easy use. （我们将CoT数据扩展到Alpaca以提高其推理能力，同时我们将不断收集更多的instruction-tuning数据集,并在我们框架下集成进更多的LLM。）

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-self-supervised-learning-for-graphs

A curated list for awesome self-supervised learning for graphs.

bert-thucnews-classification

Bert-based text classification

c3d-tensorflow

C3D is a modified version of BVLC tensorflow to support 3D ConvNets.

categorical-encoding

A library of sklearn compatible categorical variable encoders

chatglm-6b

ChatGLM-6B：开源双语对话语言模型 | An Open Bilingual Dialogue Language Model

chinese-xinhua

:orange_book: 中华新华字典数据库。包括歇后语，成语，词语，汉字。

chinesesquad

中文机器阅读理解数据集

cmake-examples

Useful CMake Examples

cs231n

cs231n assignments

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

densecap

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dla

Code for the CVPR Paper "Deep Layer Aggregation"

dqn-beat-atari

Keras/TensorFlow Implementation of an agent to beat Atari based on deep Q-Network.

dupsampling

This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation

euler

A distributed graph deep learning framework.

gatne

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

gcc

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

glm-130b

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

graph-fraud-detection-papers

A curated list of fraud detection papers using graph information or graph neural networks