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Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementat…
Some Python code to make GIFs from graph algos
XLNet: Generalized Autoregressive Pretraining for Language Understanding
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD
Keras Attention Layer (Luong and Bahdanau scores).
Implementation of Graph Convolutional Networks in TensorFlow
Data competition Top Solution 数据竞赛top解决方案开源整理
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Fine-tune pretrained Convolutional Neural Networks with PyTorch
Implementation of NIMA: Neural Image Assessment in Keras
Paper list of multi-agent reinforcement learning (MARL)
"A neural algorithm of Artistic style" in tensorflow
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
A tensorflow implementation for fast neural style!
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
Finetuning AlexNet, VGGNet and ResNet with TensorFlow
CTR prediction using FM FFM and DeepFM
A simple Tensorflow based library for deep and/or denoising AutoEncoder.
Stacked Denoising AutoEncoder based on TensorFlow
Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation