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Contrastive Predictive Coding for Automatic Speaker Verification
PyTorch deep learning models for document classification
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Reformer, the efficient Transformer, in Pytorch
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Anomaly detection related books, papers, videos, and toolboxes
iForest anomaly detection codes (Matlab Version)
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
pytorch implementation of Domain-Adversarial Training of Neural Networks
Pytorch Implementation for Graph Convolutional Neural Networks
Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON)
Editor for Markdown based on PyQt4 with Metro
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
TensorFlow Neural Machine Translation Tutorial
Sequence modeling benchmarks and temporal convolutional networks
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
百度云魅族深度学习应用大赛
Keras implementations of Generative Adversarial Networks.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
RBM/DBN implementation with tensorflow attempt project