cyhbrilliant

cyhbrilliant's Stars

• nebuly-ai/optimate

  A collection of libraries to optimise AI model performances

  Language:Python8.4k639

• mit-han-lab/proxylessnas

  [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

  Language:C++1.4k285

• quark0/darts

  Differentiable architecture search for convolutional and recurrent networks

  Language:Python3.9k843

• airsplay/lxmert

  PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

  Language:Python938158

• MILVLG/openvqa

  A lightweight, scalable, and general framework for visual question answering research

  Language:Python32164

• RexYing/diffpool

  Language:Python483136

• chrislgarry/Apollo-11

  Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

  Language:Assembly59.7k7.1k

• jwyang/graph-rcnn.pytorch

  [ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"

  Language:Python732157

• cyhbrilliant/fish_classification.tensorflow

  Language:Python1

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.5k3.7k

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k691

• PetarV-/GAT

  Graph Attention Networks (https://arxiv.org/abs/1710.10903)

  Language:Python3.3k650

• Atmegal/MFURLN-CVPR-2019-relationship-detection-method

  MFURLN relationship detection method

  Language:Python21

• lichengunc/MAttNet

  MAttNet: Modular Attention Network for Referring Expression Comprehension

  Language:Jupyter Notebook29375

• MILVLG/mcan-vqa

  Deep Modular Co-Attention Networks for Visual Question Answering

  Language:Python44588

• jessiSYJ/couplet-pytorch

  Generate chinese couplet with seq2seq & PyTorch

  Language:Python194

• ShaoqingRen/faster_rcnn

  Faster R-CNN

  Language:Matlab2.7k1.2k

• ruotianluo/pytorch-faster-rcnn

  pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

  Language:Jupyter Notebook1.8k474

• 996icu/996.ICU

  Repo for counting stars and contributing. Press F to pay respect to glorious developers.

  270k21.1k

• cyhbrilliant/flair

  A very simple framework for state-of-the-art Natural Language Processing (NLP)

  Language:Python1

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.3k9.6k

• zhanghang1989/PyTorch-Encoding

  A CV toolkit for my papers.

  Language:Python2k452

• cyhbrilliant/pytorch-openai-transformer-lm

  A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

  Language:Python2

• jwyang/faster-rcnn.pytorch

  A faster pytorch implementation of faster r-cnn

  Language:Python7.7k2.3k

• cyhbrilliant/VQA

  Language:Python2

• yuzcccc/vqa-mfb

  Language:Python18241