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  • Iā€™m Ali
  • šŸ‘€ Iā€™m interested in Machine Learning, Deep Learning and Graphs.

Ali's Projects

autogan icon autogan

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

coral-pytorch icon coral-pytorch

CORAL and CORN implementations for ordinal regression with deep neural networks.

enlightengan icon enlightengan

[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

hostg icon hostg

Graph convolutional neural network for host prediction

hyperpose icon hyperpose

Library for Fast and Flexible Human Pose Estimation

machine-learning-notes icon machine-learning-notes

Collection of useful machine learning codes and snippets (originally intended for my personal use)

opencood icon opencood

An opensource framework for cooperative detection

p2t icon p2t

Code for "Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans" https://arxiv.org/abs/2001.00735

pgp icon pgp

Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.

pyg_autoscale icon pyg_autoscale

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

pyod icon pyod

(JMLR' 19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

pytorch-nce icon pytorch-nce

The Noise Contrastive Estimation for softmax output written in Pytorch

torchscene icon torchscene

Scene recognition tool based on pytorch. Provide training, test and deployment functions, as well as many pretrained models.

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