GodMan (ailias)

ailias

Geek Repo

Company:UCAS

Location:beijing zhongguancun

Home Page:https://github.com/ailias

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GodMan's repositories

Focal-Loss-implement-on-Tensorflow

The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.

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JobSpider-Auto-Recruitment-Information-Collection-on-Hadoop

An auto Job recruitment information collection and sending framework on hadoop.

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tensorflow

Computation using data flow graphs for scalable machine learning

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autokeras

accessible AutoML for deep learning.

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bev_lane_det

bev_lane_det for bev lane detection

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bevfusion

Updating BEVFusion for neolix's multi-task training, which including detection, HD map construction, occupancy and so on.

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CPP-Common-Algorithms

C++ common algorithms

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mmdetection

Open MMLab Detection Toolbox and Benchmark

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models

Models and examples built with TensorFlow

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PocketFlow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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torchgan

Research Framework for easy and efficient training of GANs based on Pytorch

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neural_map_prior

The official implementation of the CVPR2023 paper titled “Neural Map Prior for Autonomous Driving”.

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PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

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Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

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Reinforcement_Learning_Blog

This code is written for the blogs

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RoboBEV

RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift

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style2paints

sketch + style = paints :art:

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tensorflow_commons

Convert coco dataset to tfrecord for the tensorflow detection API.

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TensorRT

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

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the-art-of-command-line

Master the command line, in one page

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UniTR

[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"

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