edolele's repositories

icnn

iCNN: image reconstruction from CNN features

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ilf

AI based fuzzer based on imitation learning

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NL2SQL-BERT

Content Enhanced BERT-based Text-to-SQL Generation

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awesome-image-classification

A curated list of deep learning image classification papers and codes

EfficientDet.Pytorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

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GenericObjectDecoding

Demo code for Horikawa and Kamitani, "Generic decoding of seen and imagined objects using hierarchical visual features", https://www.nature.com/articles/ncomms15037.

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lm-snn

Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

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nl2sql

阿里天池首届中文NL2SQL挑战赛top6

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nl2sql-chinese

中文自然语言到mysql语句的转换

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nl2sql-tianchi

首届中文NL2SQL挑战赛复赛方案,评估数据集acc:0.85 复赛线上成绩: 0.8338 Rank15

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oscpy

An efficient OSC implementation compatible with python2.7 and 3.5+

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QRNG

Quantum Random Number Generator

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Realtime-Voice-Clone-Chinese

🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

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ruijin_round1

瑞金医院MMC人工智能辅助构建知识图谱大赛初赛

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ruijin_round2

瑞金医院MMC人工智能辅助构建知识图谱大赛复赛

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s2net

Supervised Spiking Network

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Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

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spytorch

Tutorial for surrogate gradient learning in spiking neural networks

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strategies

quantitative trading with Javascript, Python, C++, Blockly, MyLanguage(麦语言)

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tianchi_nl2sql

追一科技首届中文NL2SQL挑战赛决赛第3名方案+代码

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tpu

Reference models and tools for Cloud TPUs.

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TSSL-BP

Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.

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View-Adaptive-Neural-Networks-for-Skeleton-based-Human-Action-Recognition

View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition

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zi2zi

Learning Chinese Character style with conditional GAN

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cvat

Powerful and efficient Computer Vision Annotion Tool (CVAT)

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DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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DTI_PROCESSING

A general processing pipeline for diffusion data

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image-match

🎇 Quickly search over billions of images

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labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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