NLP_COURSE: A Deep Learning YSDA Natural Language Processing Course By GitHub
Nov. 23, 2018, 1:01 a.m.
By:
Kirti Bakshi
Natural language processing (NLP), as we all know is the ability of a computer program to understand human ...
Nevergrad : A Python toolbox for performing gradient-free optimization
Jan. 31, 2019, 1:10 p.m.
By:
Kirti Bakshi
In order to tune parameters and/or hyper-parameters in their models, most tasks in Machine Learning rely on optimizations ...
Browse State-Of-The-Art
Feb. 19, 2019, 11:53 p.m.
By:
Kirti Bakshi
Papers with code, that is basically a clearinghouse for a number of research papers as well as their corresponding ...
Transformers: Best NLP for Pytorch and TensorFlow 2.0
May 17, 2020, 10:24 a.m.
By:
Merlyn Shelley
You might know that Pytorch Transformers are the powerful libraries for NLP models. But now we got an update ...
TextAttack: Python framework for adversarial attacks and data augmentation in NLP
May 23, 2020, 9:13 a.m.
By:
Merlyn Shelley
TextAttack is a Python library and also a framework for executing or building adversarial attacks against NLP models. This ...
GPT-3: Unsupervised Autoregressive Language Model
June 6, 2020, 10:15 a.m.
By:
Merlyn Shelley
OpenAI recently released a GitHub repo with test cases on a robust NLP model GPT-3, that claim to improve ...
BERT: State-of-the-Art Pre-training for NLP
June 8, 2020, 8:53 a.m.
By:
Merlyn Shelley
Google introduced a brand new open-source pre-training technique in NLP called Bidirectional Encoder Representations from Transformers or simply BERT. ...
Latest Stories
Transformers: Best NLP for Pytorch and TensorFlow 2.0
Nevergrad : A Python toolbox for performing gradient-free optimization
Browse State-Of-The-Art
NLP_COURSE: A Deep Learning YSDA Natural Language Processing Course By GitHub