daizh

daizh's Stars

• shaoanlu/faceswap-GAN

  A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

  Language:Jupyter Notebook3.4k844

• facebookresearch/PyTorch-BigGraph

  Generate embeddings from large-scale graph-structured data.

  Language:Python3.4k449

• PaddlePaddle/ERNIE

  Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

  Language:Python6.3k1.3k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k26.8k

• namisan/mt-dnn

  Multi-Task Deep Neural Networks for Natural Language Understanding

  Language:Python2.2k411

• deepfakes/faceswap

  Deepfakes Software For All

  Language:Python52.2k13.2k

• openai/gpt-2

  Code for the paper "Language Models are Unsupervised Multitask Learners"

  Language:Python22.5k5.5k

• Ghadjeres/DeepBach

  code accompanying "DeepBach: a Steerable Model for Bach Chorales Generation" paper

  Language:Python499130

• horovod/horovod

  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

  Language:Python14.2k2.2k

• openannotation/annotator

  Annotation tools for the web. Select text, images, or (nearly) anything else, and add your notes.

  Language:JavaScript2.7k531

• kohpangwei/influence-release

  Language:Jupyter Notebook772176

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.6k1.8k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16k3k

• haitian-sun/GraftNet

  Language:Python26856

• chrisdonahue/nesmdb

  The NES Music Database: use machine learning to compose music for the Nintendo Entertainment System!

  Language:Python45439

• commonsense/conceptnet-numberbatch

  Language:Python1.3k143

• google-research-datasets/natural-questions

  Natural Questions (NQ) contains real user questions issued to Google search, and answers found from Wikipedia by annotators. NQ is designed for the training and evaluation of automatic question answering systems.

  Language:Python934152

• dapurv5/awesome-question-answering

  Resources, datasets, papers on Question Answering

  670194

• jina-ai/clip-as-service

  🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

  Language:Python12.4k2.1k

• Engineering-Course/Awesome-Medical-Research

  Awesome list for deep learning on medical research

  477

• nyu-dl/dl4marco-bert

  Language:Python47688

• alex000kim/nsfw_data_scraper

  Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

  Language:Shell12.3k2.9k

• google-research-datasets/wiki-reading

  This repository contains the three WikiReading datasets as used and described in WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia, Hewlett, et al, ACL 2016 (the English WikiReading dataset) and Byte-level Machine Reading across Morphologically Varied Languages, Kenter et al, AAAI-18 (the Turkish and Russian datasets).

  Language:Python27132

• brmson/Sentence-selection

  Answer Sentence Selection using Deep Learning

  Language:Python6426

• thunlp/KRLPapers

  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

  Language:TeX1.5k246

• FavioVazquez/ds-cheatsheets

  List of Data Science Cheatsheets to rule the world

  14.6k3.8k

• JayYip/m3tl

  BERT for Multitask Learning

  Language:Jupyter Notebook545125

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.1k9.6k

• thunlp/RCPapers

  Must-read papers on Machine Reading Comprehension

  893172

• Conchylicultor/Deep-Learning-Tricks

  Enumerate diverse machine learning training tricks.

  42094