Neural_Network
A simple Neural Network that predicts the label for a series of handwritten numbers
This program tries to predict the label (1,2,3 etc.) of the handwritten numbers from the MNIST Database of handwritten digits.
A simple Neural Network that predicts the label for a series of handwritten digits
Overview
object detection; robust detection; ACM MM21 grand challenge; Security AI Challenger Phase VII
赛题背景 在商品知识产权领域，知识产权体现为在线商品的设计和品牌。不幸的是，在每一天，存在着非法商户通过一些对抗手段干扰商标识别来逃避侵权，这带来了很高的知识产权风险和财务损失。为了促进先进的多媒体人工智能技术的发展，以保护企业来之不易的创作和想法免受恶意使用和剽窃，因此提出了鲁棒性标识检测挑战赛
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ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives
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PyTorch Autoencoders - Implementing a Variational Autoencoder (VAE) Series in Pytorch.
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A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.
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This repository contains tutorials for the py4DSTEM Python package
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Conjugated Discrete Distributions for Distributional Reinforcement Learning (C2D)
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Tools for the Cleveland State Human Motion and Control Lab
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Code for the paper titled "Prabhupadavani: A Code-mixed Speech Translation Data for 25 languages"
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ADOP: Approximate Differentiable One-Pixel Point Rendering
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Official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model.
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Scalable, event-driven, deep-learning-friendly backtesting library
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Session-based Recommendation, CoHHN, price preferences, interest preferences, Heterogeneous Hypergraph, Co-guided Learning, SIGIR2022
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Code for our TKDE paper "Understanding WeChat User Preferences and “Wow” Diffusion"
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A web porting for NVlabs' StyleGAN2, to facilitate exploring all kinds characteristic of StyleGAN networks
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Code and data of the Fine-Grained R2R Dataset proposed in paper Sub-Instruction Aware Vision-and-Language Navigation
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This repository contains a toolkit for collecting, labeling and tracking object keypoints
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Spatial Sparse Convolution Library
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Deep Learning Head Pose Estimation using PyTorch.
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Testbed of AI Systems Quality Management
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code and data for paper "GIANT: Scalable Creation of a Web-scale Ontology"
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