Stars
Allows using folium without an internet connection
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
JittorVis - Visual understanding of deep learning models
The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dag…
Graph Neural Network Library for PyTorch
Use word2vec embedding with LSTM for the "Bag of Words meets Bag of Popcorn" challenge
Uncertainty on Asynchronous Time Event Prediction (Spotlight, Neurips 2019)
This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
List of papers, code and experiments using deep learning for time series forecasting
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…
resources for graph convolutional networks (图卷积神经网络相关资源)
Hadoop (Utilities, Patches and Examples)
Must-read papers on graph neural networks (GNN)
This is a Java open source library which provides a time series forecasting functionality.
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.
all kinds of text classification models and more with deep learning
Html Content / Article Extractor, web scrapping lib in Python
Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.