benedekrozemberczki/AttentionWalk
quality grade D, 36 out of 100A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,686 results
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
A simple effective ToolKit for short text matching
<혼자 공부하는 머신러닝+딥러닝>의 코드 저장소입니다.
PyTorch dataset extended with map, cache etc. (tensorflow.data like)
A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.
深度学习论文阅读路线图
Haste: a fast, simple, and open RNN library
Practical examples written in SciSharp's machine learning libraries
图片类验证码识别(数字验证码/缺口验证码/文字验证码/旋转验证码/相似物体验证码)
Integrate TensorFlow with CMake projects effortlessly
使用Tensorflow实现声纹识别
Curated Tensorflow code resources to help you get started with Deep Learning.
A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.
A collection of Deep Learning projects and resources
Neural network visualization toolkit for tf.keras
Experiment diverse Deep learning models for music generation with TensorFlow
Lstm variational auto-encoder for time series anomaly detection and features extraction
ECG arrhythmia classification using a 2-D convolutional neural network
Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'
plugin to extract keywords and key-phrases
Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.
End-To-End Memory Network using Tensorflow
24,524 repositories in the index in total.