Notes

Notes

dj falcon

RL

  1. ACER
  2. I2A
  3. CDE
  4. GAIL
  5. H-DQN
  6. VIN https://github.com/zuoxingdong/VIN_PyTorch_Visdom https://github.com/kentsommer/pytorch-value-iteration-networks
  7. NEC
  8. SNAIL RL2
  9. TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning https://github.com/oxwhirl/treeqn


Robust-Multitask-RL

https://github.com/Alfo5123/Robust-Multitask-RL

hindsight experience replay

https://github.com/jimimvp/torch_rl



Multi-Agents:

  1. https://github.com/xuehy/pytorch-mace
  2. https://github.com/xuehy/pytorch-maddpg
  3. https://github.com/ChenglongChen/pytorch-madrl
  4. https://github.com/shariqiqbal2810/maddpg-pytorch
  5. https://github.com/agakshat/LOLA-pytorch
  6. https://github.com/ezhan94/gen-MA-BC - TOOOOOP!
  7. https://github.com/alexis-jacq/LOLA_DiCE
  8. https://github.com/alshedivat/lola/


Exploration:

  1. DORA: https://github.com/nathanwang000/deep_exploration_with_E_network
  2. CDE https://github.com/kimhc6028/pytorch-noreward-rl
  3. Count-Based Exploration with Neural Density Models https://github.com/kristychoi/pixel_exploration


RL-Algos

  1. TRPO (Hessian-vector product version)
  2. Rainbow https://github.com/Kaixhin/Rainbow
  3. Categorical DQN https://github.com/floringogianu/categorical-dqn
  4. Embed to Control https://github.com/ethanluoyc/e2c-pytorch
  5. Evolution Strategies https://github.com/atgambardella/pytorch-es

META RL https://msiam.github.io/Few-Shot-Learning/

  1. Relation Network for Few-Shot Learning https://github.com/dragen1860/LearningToCompare-Pytorch
  2. https://hackernoon.com/one-shot-learning-with-siamese-networks-in-pytorch-8ddaab10340e
  3. Gradient Episodic Memory for Continual Learning https://github.com/facebookresearch/GradientEpisodicMemory
  4. Optimization as a Model for Few-Shot Learning https://github.com/gitabcworld/FewShotLearning
  5. MAML https://github.com/katerakelly/pytorch-maml
  6. Learning to learn by gradient descent by gradient descent https://github.com/ikostrikov/pytorch-meta-optimizer
  7. Prototypical Networks for Few Shot Learning https://github.com/orobix/Prototypical-Networks-for-Few-shot-Learning-PyTorch
  8. Matching Networks for One Shot Learning https://github.com/gitabcworld/MatchingNetworks
  9. Learning to Remember Rare Events https://github.com/RUSH-LAB/LSH_Memory
  10. https://blog.openai.com/reptile/
  11. MAML https://github.com/dragen1860/MAML-Pytorch
  12. Dynamic Few-Shot Visual Learning without Forgettin https://github.com/gidariss/FewShotWithoutForgetting
  13. SNAIL https://github.com/eambutu/snail-pytorch


NLP

  1. Unsupervised Neural Machine Translation https://github.com/artetxem/undreamt
  2. Transformer https://github.com/leviswind/pytorch-transformer
  3. Transformer https://github.com/jadore801120/attention-is-all-you-need-pytorch
  4. Poincaré Embeddings https://github.com/facebookresearch/poincare-embeddings
  5. Bytenet https://github.com/kefirski/bytenet
  6. convSeq2Seq https://github.com/facebookresearch/fairseq-py
  7. Differentiable Neural Computers https://github.com/ixaxaar/pytorch-dnc
  8. Differentiable Neural Computers https://github.com/ypxie/pytorch-NeuCom
  9. Neural Turing Machine https://github.com/loudinthecloud/pytorch-ntm
  10. Neural Turing Machine and DNC: https://github.com/jingweiz/pytorch-dnc
  11. DrQA https://github.com/hitvoice/DrQA
  12. Relational Networks https://github.com/kimhc6028/relational-networks
  13. AllenNLP https://github.com/allenai/allennlp
  14. PyTorch Dilated Recurrent Neural Networks https://github.com/zalandoresearch/pt-dilate-rnn
  15. Training RNNs as Fast as CNNs https://github.com/taolei87/sru
  16. Sequence Modeling Benchmarks and Temporal Convolutional Networks (TCN) https://github.com/locuslab/TCN
  17. NIPS workshop implementaion Conv Encoder
  18. Generating Sentences from a Continuous Space https://github.com/kefirski/pytorch_RVAE
  19. SQUAD Dynamic Co-attention network https://github.com/DSKSD
  20. Highway https://gist.github.com/a-rodin/d4f2ab5d7eb9d9887b26f28144e4ffdf
  21. Neural Machine Translation with character-level attention networks https://github.com/kefirski/attentive-translation
  22. QANet https://github.com/hengruo/QANet-pytorch
  23. Self-critical Sequence Training for Image Captioning https://github.com/ruotianluo/self-critical.pytorch
  24. https://github.com/dhpollack/bytenet.pytorch
  25. https://github.com/dhpollack/fast-wavenet.pytorch
  26. https://github.com/vincentherrmann/pytorch-wavenet - BEST WAVENET
  27. https://github.com/r9y9/wavenet_vocoder
  28. BIDAF: https://github.com/jojonki/BiDAF
  29. External Memory Module https://github.com/bzcheeseman/pytorch-EMM
  30. Neural GPU: https://github.com/bzcheeseman/pytorch-NGPU
  31. Pervasive Attention https://github.com/elbayadm/attn2d
  32. relational-rnn

Graphs

  1. Gated Graph Sequence Neural Networks (GGNN) https://github.com/JamesChuanggg/ggnn.pytorch
  2. Graph Convolutional Networks https://github.com/tkipf/pygcn
  3. Neural Message Passing for Quantum Chemistry https://github.com/priba/nmp_qc
  4. MolEncoder https://github.com/cxhernandez/molencoder
  5. Neural relational inference for interacting systems https://github.com/ethanfetaya/NRI
  6. Convolutional 2D Knowledge Graph Embeddings https://github.com/TimDettmers/ConvE
  7. Graph Attention Network https://github.com/Diego999/pyGAT
  8. GraphSAGE https://github.com/williamleif/graphsage-simple
  9. GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Model https://github.com/JiaxuanYou/graph-generation

DL

  1. Noisy Natural Gradient as Variational Inference https://github.com/wlwkgus/NoisyNaturalGradient
  2. Attention Transfer https://github.com/szagoruyko/attention-transfer
  3. PackNet: https://arxiv.org/abs/1711.05769 https://github.com/arunmallya/packnet
  4. Neural Arithmetic Logic Unit https://github.com/search?utf8=%E2%9C%93&q=Neural+Arithmetic+Logic+Units&type=

Visdial/VQA

  1. Neural Module Network for VQA in Pytorch https://github.com/HarshTrivedi/nmn-pytorch
  2. Visual Question Answering in pytorch https://github.com/Cadene/vqa.pytorch
  3. https://github.com/facebookresearch/EmbodiedQA

VAE

  1. Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts       https://github.com/simplespy/SCAN-from-betaVAE
  2. Disentangled Variational AutoEncoder with PyTorch https://github.com/Near32/PYTORCH_VAE
  3. vae https://github.com/ethanluoyc/pytorch-vae/blob/master/vae.py https://github.com/Prasanna1991/pytorch-vae/blob/master/cvae.py
  4. Sketch-RNN https://github.com/alexis-jacq/Pytorch-Sketch-RNN/blob/master/sketch_rnn.py
  5. Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection https://github.com/danieltan07/dagmm
  6. A LOOOOT VAE: https://github.com/kefirski?tab=repositories
  7. VQ-VAE https://github.com/nadavbh12/VQ-VAE

Dialogue

  1. Sequential Dialogue Context Modeling for Spoken Language Understanding https://github.com/DSKSD/SDEN-Pytorch
  2. Global-Locally Self-Attentive Dialogue State Tracker https://github.com/salesforce/glad
  3. Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model https://github.com/hzhucn/Visual_Dialogue.pytorch
  4. A Diversity-Promoting Objective Function for Neural Conversation Models https://github.com/XinnuoXu/mmi_anti_pytorch
  5. Latent Variable Dialogue Models and their Diversity https://github.com/guxd/VariationalSeq2Seq
  6. Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders, https://github.com/gujiuxiang/Dialogue.pytorch
  7. RL-Chat-pytorch https://github.com/clam004/RL-Chat-pytorch
  8. DialogueGenerationWithEmotion https://github.com/chenyangh/DialogueGenerationWithEmotion













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