Linking pages
- GitHub - google-research/bert: TensorFlow code and pre-trained models for BERT https://github.com/google-research/bert 21 comments
- The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-bert/ 20 comments
- Microsoft makes it easier to build popular language representation model BERT at large scale | Azure Blog and Updates | Microsoft Azure https://azure.microsoft.com/en-us/blog/microsoft-makes-it-easier-to-build-popular-language-representation-model-bert-at-large-scale/ 5 comments
- Give Me Jeans not Shoes: How BERT Helps Us Deliver What Clients Want | Stitch Fix Technology – Multithreaded https://multithreaded.stitchfix.com/blog/2019/07/15/give-me-jeans/ 1 comment
- 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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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. https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems 0 comments
- 🦄 How to build a State-of-the-Art Conversational AI with Transfer Learning | by Thomas Wolf | HuggingFace | Medium https://medium.com/huggingface/how-to-build-a-state-of-the-art-conversational-ai-with-transfer-learning-2d818ac26313 0 comments
- Social AI with Hugging Face featuring Clément Delangue from Hugging Face (Practical AI #35) |> Changelog https://changelog.com/practicalai/35 0 comments
- GitHub - ritchieng/the-incredible-pytorch: The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. https://github.com/ritchieng/the-incredible-pytorch 0 comments
- How to create your own Question-Answering system easily with python | by André Macedo Farias | Towards Data Science https://towardsdatascience.com/how-to-create-your-own-question-answering-system-easily-with-python-2ef8abc8eb5 0 comments
- AI researchers launch SuperGLUE, a rigorous benchmark for language understanding | VentureBeat https://venturebeat.com/2019/08/14/ai-researchers-launch-superglue-a-rigorous-benchmark-for-language-understanding/ 0 comments
- Distilling BERT — How to achieve BERT performance using Logistic Regression | by Dima Shulga | Towards Data Science https://towardsdatascience.com/distilling-bert-how-to-achieve-bert-performance-using-logistic-regression-69a7fc14249d 0 comments
- GitHub - namisan/mt-dnn: Multi-Task Deep Neural Networks for Natural Language Understanding https://github.com/namisan/mt-dnn 0 comments
- Massive Multi-Task Learning with Snorkel MeTaL: Bringing More Supervision to Bear · Stanford DAWN https://dawn.cs.stanford.edu/2019/03/22/glue/ 0 comments
- OpenAI's new "dangerous" GPT-2 language model (Practical AI #32) |> Changelog https://changelog.com/practicalai/32 0 comments
- I Didn’t Write This Article Alone | by Favio Vázquez | Towards Data Science https://towardsdatascience.com/i-didnt-write-this-article-alone-bc604e50859c 0 comments
- GitHub - bharathgs/Awesome-pytorch-list: A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. https://github.com/bharathgs/Awesome-pytorch-list 0 comments
- GitHub - Kyubyong/msg_reply: a simple message reply suggestion system https://github.com/Kyubyong/msg_reply 0 comments
- GitHub - soskek/bert-chainer: Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding" https://github.com/soskek/bert-chainer 0 comments
- PyTorch Reimplementation of OpenAI GPT-2 Small Model Released | by Synced | SyncedReview | Medium https://medium.com/syncedreview/hugging-face-releases-pytorch-bert-pretrained-models-and-more-b8a7839e7730 0 comments
- Beyond Word Embeddings Part 2. A primer in the neural nlp model… | by Aaron (Ari) Bornstein | Towards Data Science https://medium.com/@aribornstein/beyond-word-embeddings-part-2-word-vectors-nlp-modeling-from-bow-to-bert-4ebd4711d0ec 0 comments
Linked pages
- TensorFlow http://tensorflow.org/ 440 comments
- [2205.01068] OPT: Open Pre-trained Transformer Language Models https://arxiv.org/abs/2205.01068 318 comments
- Better Language Models and Their Implications https://blog.openai.com/better-language-models/#content 207 comments
- GitHub - kingoflolz/mesh-transformer-jax: Model parallel transformers in JAX and Haiku https://github.com/kingoflolz/mesh-transformer-jax 146 comments
- GitHub - EleutherAI/gpt-neo: An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library. https://github.com/EleutherAI/gpt-neo/ 127 comments
- PyTorch http://pytorch.org/ 100 comments
- GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more https://github.com/google/jax 99 comments
- Write With Transformer https://transformer.huggingface.co/ 86 comments
- Image GPT https://openai.com/blog/image-gpt/ 84 comments
- BERTweet https://huggingface.co/docs/transformers/model_doc/bertweet 23 comments
- [2103.14030] Swin Transformer: Hierarchical Vision Transformer using Shifted Windows https://arxiv.org/abs/2103.14030 20 comments
- [1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding https://arxiv.org/abs/1810.04805 18 comments
- Improving language understanding with unsupervised learning https://blog.openai.com/language-unsupervised/ 18 comments
- [1906.08237] XLNet: Generalized Autoregressive Pretraining for Language Understanding https://arxiv.org/abs/1906.08237 15 comments
- [2105.13626] ByT5: Towards a token-free future with pre-trained byte-to-byte models https://arxiv.org/abs/2105.13626 15 comments
- [2002.08909] REALM: Retrieval-Augmented Language Model Pre-Training https://arxiv.org/abs/2002.08909 13 comments
- BigScience Research Workshop https://bigscience.huggingface.co 11 comments
- [1905.11946] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks https://arxiv.org/abs/1905.11946 10 comments
- [2106.01345] Decision Transformer: Reinforcement Learning via Sequence Modeling https://arxiv.org/abs/2106.01345 9 comments
- OPUS - an open source parallel corpus https://opus.nlpl.eu/ 9 comments
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