GitHub - RedditSota/state-of-the-art-result-for-machine-learning-problems: This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

Linking pages

Linked pages

[1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
GitHub - matterport/Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow https://github.com/matterport/Mask_RCNN 63 comments
GitHub - leela-zero/leela-zero: Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper. https://github.com/gcp/leela-zero 62 comments
[1711.00043] Unsupervised Machine Translation Using Monolingual Corpora Only https://arxiv.org/abs/1711.00043 36 comments
GitHub - tkarras/progressive_growing_of_gans: Progressive Growing of GANs for Improved Quality, Stability, and Variation https://github.com/tkarras/progressive_growing_of_gans 36 comments
[1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding https://arxiv.org/abs/1810.04805 25 comments
GitHub - facebookresearch/Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. https://github.com/facebookresearch/Detectron 22 comments
GitHub - google-research/bert: TensorFlow code and pre-trained models for BERT https://github.com/google-research/bert 21 comments
[1703.10722] Factorization tricks for LSTM networks https://arxiv.org/abs/1703.10722 14 comments
GitHub - facebookresearch/ResNeXt: Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks https://github.com/facebookresearch/ResNeXt 11 comments
The Stanford Question Answering Dataset https://rajpurkar.github.io/SQuAD-explorer/ 4 comments
[1706.05137] One Model To Learn Them All https://arxiv.org/abs/1706.05137 3 comments
GitHub - openai/gpt-2: Code for the paper "Language Models are Unsupervised Multitask Learners" https://github.com/openai/gpt-2 2 comments
[1711.03953] Breaking the Softmax Bottleneck: A High-Rank RNN Language Model https://arxiv.org/abs/1711.03953 0 comments
[1703.06870] Mask R-CNN https://arxiv.org/abs/1703.06870 0 comments
models/research/capsules at master · Sarasra/models · GitHub https://github.com/Sarasra/models/tree/master/research/capsules 0 comments
[1710.09829] Dynamic Routing Between Capsules https://arxiv.org/abs/1710.09829 0 comments
GitHub - gram-ai/capsule-networks: A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules". https://github.com/gram-ai/capsule-networks 0 comments
[1707.07012] Learning Transferable Architectures for Scalable Image Recognition https://arxiv.org/abs/1707.07012 0 comments
GitHub - tensorflow/tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. https://github.com/tensorflow/tensor2tensor 0 comments