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khaled 's Projects

awesome icon awesome

😎 Awesome lists about all kinds of interesting topics

awesome-bigdata icon awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-deeplearning icon awesome-deeplearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

awesome-selfhosted icon awesome-selfhosted

A list of Free Software network services and web applications which can be hosted on your own servers

bus-tts icon bus-tts

Bus Travel Time Prediction Based on Route Links Similarity

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dgl icon dgl

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

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gsta icon gsta

GSTA: Gated Spatial-Temporal Attention Approach for Travel Time Prediction

mixmamba icon mixmamba

A framework for general time series modeling using adaptive expertise.

monorepo icon monorepo

The mitosheet package, trymito.io, and other public Mito code.

ogb icon ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

onnx icon onnx

Open standard for machine learning interoperability

pgl icon pgl

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

t-gcn icon t-gcn

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

tfgan icon tfgan

TFGAN: traffic forecasting using generative adversarial network with multi-graph convolutional network

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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