Reading List for Deep Learning Research: https://github.com/stefan-it/reading-list
General: https://github.com/topics/machine-comprehension
Markup:
- BiDAF: https://github.com/allenai/bi-att-flow
- R-net (2018) - https://github.com/minsangkim142/R-net
- In Keras: https://github.com/YerevaNN/R-NET-in-Keras
- Paper: https://www.microsoft.com/en-us/research/wp-content/uploads/2017/05/r-net.pdf
- https://github.com/HKUST-KnowComp/R-Net (another R-net 2018)
- https://github.com/matthew-z/R-net (pytorch)
- https://github.com/minsangkim142/Fast-Reading-Comprehension (recent - 2108)
- https://github.com/mandarjoshi90/triviaqa
- https://github.com/ymcui/Eval-on-NN-of-RC
- https://github.com/cairoHy/RC-experiments
- https://github.com/qizhex/RACE_AR_baselines
Generic: https://github.com/topics/question-answering
Markup:
- https://github.com/vinhkhuc/MemN2N-babi-python
- https://github.com/allenai/deep_qa
- https://github.com/Samurais/insuranceqa-corpus-zh (dataset)
- https://github.com/therne/dmn-tensorflow (2016)
- https://github.com/NVIDIA/OpenSeq2Seq (2018)
- https://github.com/mandarjoshi90/triviaqa
- https://github.com/5hirish/adam_qas (inspired by IBM Watson - 2018)
- https://github.com/MurtyShikhar/Question-Answering
- https://github.com/shimisalant/RaSoR
- https://github.com/theSage21/FusionNet (2018)
Markup:
Markup:
- Yolo: https://github.com/leggedrobotics/darknet_ros
- https://github.com/PJunhyuk/people-counting-pose
Genericl Places to Look at Markup:
Markup :
- https://github.com/ITCoders/Human-detection-and-Tracking
- https://github.com/m-dorgham/PedestrianTracking
- https://github.com/MyNameIsCosmo/lidar_body_tracking
- https://github.com/bendidi/Tracking-with-darkflow
General: https://github.com/topics/attention-mechanism
Markup: