A Keras implementation of YOLOv3 (Tensorflow backend)
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Keras implementation of Multi-gate Mixture-of-Experts
Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"
Pytorch implementation of Center Loss
A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
Differentiable architecture search for convolutional and recurrent networks
Keras implementation of BERT with pre-trained weights
PyTorch implementation of and Yolov2 and Yolov3
Enhanced Super-Resolution Generative Adversarial Networks
Deep learning recommend system with TensorFlow
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Keras implementation of RetinaNet object detection
Neural Networks that invent their own encryption :key:
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
An implementation of Nvidia's fast photorealistic style transfer algorithm. Given a content photo and a style photo, the code can transfer the style of the style photo to the content photo.
Subword Neural Machine Translation
Efficient Neural Architecture search via parameter sharing (ENAS) micro search Tensorflow code for windows user
Keras implementation of Deep Convolutional Generative Adversarial Networks
Image restoration with neural networks but without learning.
Google AI 2018 "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Paper URL" pytorch implementation
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
Facebook AI Research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Torch implementation of neural style algorithm
The original code from the DeepMind article + my tweaks
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
A general-purpose neural model for efficient learning of entity embeddings for solving a wide variety of problems
Sequential model-based optimization with a `scipy.optimize` interface