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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.
| Date | Stars |
|---|---|
| 2026-07-31 | 8898 |
| 2026-08-01 | 8898 |
| 2026-08-06 | 8898 |
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# State-of-the-art result for all Machine Learning Problems ### LAST UPDATE: 20th Februray 2019 ### NEWS: I am looking for a Collaborator esp who does research in NLP, Computer Vision and Reinforcement learning. If you are not a researcher, but you are willing, contact me. Email me: [email protected] 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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately. You can also submit this [Google Form](https://docs.google.com/forms/d/e/1FAIpQLSe_fFZVCeCVRGGgOQIpoQSXY7mZWynsx7g6WxZEVpO5vJioUA/viewform?embedded=true) if you are new to Github. This is an attempt to make one stop for all types of machine learning problems state of the art result. I can not do this alone. I need help from everyone. Please submit the Google form/raise an issue if you find SOTA result for a dataset. Please share this on Twitter, Facebook, and other social media. This summary is categorized into: - [Supervised Learning](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems#supervised-learning) - [Speech](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems#speech) - [Computer Vision](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems#computer-vision) - [NLP](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems#nlp) - [Semi-supervised Learning](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems#semi-supervised-learning) - Computer Vision - [Unsupervised Learning](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems#unsupervised-learning) - Speech - Computer Vision - [NLP](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems/blob/master/README.md#nlp-1) - [Transfer Learning](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems#transfer-learning) - [Reinforcement Learning](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems#reinforcement-learning) ## Supervised Learning ### NLP #### 1. Language Modelling <table> <tbody> <tr> <th width="30%">Research Paper</th> <th align="center" width="20%">Datasets</th> <th align="center" width="20%">Metric</th> <th align="center" width="20%">Source Code</th> <th align="center" width="10%">Year</th> </tr> <tr> <td><a href='https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf'> Language Models are Unsupervised Multitask Learners </a></td> <td align="left"><ul><li> PTB </li><li> WikiText-2 </li></ul></td> <td align="left"><ul><li> Perplexity: 35.76 </li><li> Perplexity: 18.34 </li></ul></td> <td align="left"><a href='https://github.com/openai/gpt-2'>Tensorflow </a></td> <td align="left">2019</td> </tr> <tr> <td><a href='https://arxiv.org/pdf/1711.03953.pdf'>BREAKING THE SOFTMAX BOTTLENECK: A HIGH-RANK RNN LANGUAGE MODEL </a></td> <td align="left"><ul><li> PTB </li><li> WikiText-2 </li></ul></td> <td align="left"><ul><li> Perplexity: 47.69 </li><li> Perplexity: 40.68 </li></ul></td> <td align="left"><a href='https://github.com/zihangdai/mos'>Pytorch </a></td> <td align="left">2017</td> </tr> <tr> <td><a href='https://arxiv.org/pdf/1709.07432.pdf'>DYNAMIC EVALUATION OF NEURAL SEQUENCE MODELS </a></td> <td align="left"><ul><li> PTB </li><li> WikiText-2 </li></ul></td> <td align="left"><ul><li> Perplexity: 51.1 </li><li> Perplexity: 44.3 </li></ul></td> <td align="left"><a href='https://github.com/benkrause/dynamic-evaluation'>Pytorch </a></td>
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Zhun Zhong · Xiamen University
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Zhedong Zheng · University of Macau · China
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:f8eae235749ec762, desc:dataset