jinyup100

jinyup100

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GAIN

Pytorch Lightning Implementation of GAIN

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decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

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deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

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lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

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lightning-kitti

Semantic Segmentation with Pytorch-Lightning

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opencv

Open Source Computer Vision Library

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pytorch-segnet

SegNet implementation in Pytorch framework

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radar-robotcar-dataset-sdk

Additional Helpers for the Oxford Radar RobotCar Dataset https://ori.ox.ac.uk/datasets/radar-robotcar-dataset

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robotcar-dataset-sdk

Software Development Kit for the Oxford Robotcar Dataset

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SalsaNext

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

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sec-edgar

Download all companies periodic reports, filings and forms from EDGAR database.

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SEC-EDGAR-text

Text information from US companies' SEC EDGAR electronic filings

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semantic-segmentation-baselines

Baseline implementation of deep learning semantic segmentation models.

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Senta

Baidu's open-source Sentiment Analysis System.

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verification

In light of recent interest in the interpretability of neural networks, the purpose of this project is to devise an algorithmic framework that accurately calculates the lower and upper bounds on the outputs of a toy neural network, and eventually on the real network trained on the ACAS dataset.

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