Highlights
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Stars
A curated list of awesome vision and language resources for earth observation.
A simple network quantization demo using pytorch from scratch.
A neural network architecture(CNN+LSTM) that automatically generates captions from the images. The model uses ResNet architecture to train the Encoder while DecoderRNN has to be trained with our chโฆ
Distillation of KoBERT from SKTBrain (Lightweight KoBERT)
tensorflow object detection api helper tool ( custom object detection )
PyTorch implementation of deep reinforcement learning algorithms
Simple Cartpole example writed with pytorch.
Framework for inspecting actions and observatinos in StarCraftII replays
A repository for implementation of deep reinforcement learning lectured at Samsung
This is a simple implementation of DeepMind's PySC2 RL agents.
StarCraft 2 playing agents implemented for the PySC2 API
Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028
Pytorch version implementation of IMPALA. Haven't been finished
A Test-Implementation of the IMPALA algorithm (by deepmind 2018)
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Simple Example A3C Reinforcement Learning Algorithm in Tensorflow
PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)
Repository for codes of 'Deep Reinforcement Learning'
Structural implementation of RL key algorithms
๐ Scalable embedding, reasoning, ranking for images and sentences with CLIP
This repository provides list of Korean NLP papers.