tl;dr A step-by-step tutorial to train a hate speech detection model to classify text containing hate speech. The trained model has a BERT-based transformer architecture. Practical Machine Learning - Learn Step-by-Step to Train a Model A great way to learn is by going step-by-step through the process of training and evaluating the model. Hit the Open in Colab button below to launch a Jupyter Notebook in the cloud with a step-by-step walkthrough....
tl;dr A step-by-step tutorial to train a BioBERT model for named entity recognition (NER), extracting diseases and chemical on the BioCreative V CDR task corpus. Our model is #3-ranked and within 0.6 percentage points of the state-of-the-art. Practical Machine Learning - Learn Step-by-Step to Train a Model A great way to learn is by going step-by-step through the process of training and evaluating the model. Hit the Open in Colab button below to launch a Jupyter Notebook in the cloud with a step-by-step walkthrough....
tl;dr A step-by-step tutorial to remove backgrounds from photos automatically with DeepLabV3-ResNet101 to create that killer professional photo for your next LinkedIn profile picture. Practical Machine Learning - Learn Step-by-Step to Train a Model A great way to learn is by going step-by-step through the process of training and evaluating the model. Hit the Open in Colab button below to launch a Jupyter Notebook in the cloud with a step-by-step walkthrough....
tl;dr A step-by-step tutorial to train a state-of-the-art model with BERT for named entity recognition (NER) in mandarin, 中文命名实体识别. Our model beats the state-of-the-art by 0.7 percentage points. Practical Machine Learning - Learn Step-by-Step to Train a Model A great way to learn is by going step-by-step through the process of training and evaluating the model. Hit the Open in Colab button below to launch a Jupyter Notebook in the cloud with a step-by-step walkthrough....
tl;dr A step-by-step tutorial to train a state-of-the-art model with flair and BERT for named entity recognition (NER) in mandarin, 中文命名实体识别, on a Weibo dataset. Our model beats the state-of-the-art by 20+ percentage points. Practical Machine Learning - Learn Step-by-Step to Train a Model A great way to learn is by going step-by-step through the process of training and evaluating the model. Hit the Open in Colab button below to launch a Jupyter Notebook in the cloud with a step-by-step walkthrough....
tl;dr A step-by-step tutorial to train a state-of-the-art model for sentiment analysis on mandarin food delivery reviews using the XLNet architecture. We will use Google Colab’s free Jupyter Notebook in the cloud. Practical Machine Learning - Learn Step-by-Step to Train a Model A great way to learn is by going step-by-step through the process of training and evaluating the model. Hit the Open in Colab button below to launch a Jupyter Notebook in the cloud with a step-by-step walkthrough....
tl;dr A step-by-step tutorial to train a state-of-the-art model for named entity recognition (NER), the task of identifying persons, organizations and locations from a piece of text. Practical Machine Learning - Learn Step-by-Step to Train a Model A great way to learn is by going step-by-step through the process of training and evaluating the model. Hit the Open in Colab button below to launch a Jupyter Notebook in the cloud with a step-by-step walkthrough....
tl;dr A step-by-step tutorial to train a sentiment analysis model to classify polarity of IMDB movie reviews with XLNet using a free Jupyter Notebook in the cloud. The IMDB Movie Reviews Dataset and XLNet The Internet Movie Database (IMDb) movie reviews dataset is a very well-established benchmark (since 2011) for sentiment analysis performance. It’s probably the first large-ish (50,000 train+test), balanced sentiment analysis dataset, making it a very nice dataset for benchmarking on....
tl;dr A step-by-step tutorial to train a state-of-the-art model to detect sarcasm 🙄 from tweets with a free Jupyter Notebook in the cloud. Sooo Impressive Sarcasm Detection Model on Tweets Recently Venture Beat published (and Communications of the ACM referenced) a news article titled “AI researchers made a sarcasm detection model and it’s sooo impressive” which detailed how researchers from China had come up with a “sarcasm detection AI” that “achieved state-of-the-art performance on a dataset drawn from Twitter”....
tl;dr We feature 10 of the top Computer Vision (CV) code repositories from Singapore. These include popular implementations of YOLO3, EfficientDet, DeepLab, FaceBoxes and other models ranging from activity recognition to eye tracking. The ranking is decided based on the total Github stars of the repositories. 10. Dual Path Networks Architecture of DPNs. Retrieved from Github. This repository contains the code and trained models of Dual Path Networks which won the 1st place in Object Localization Task in ILSVRC 2017, and was a Top 3 team with on all competition tasks (Team: NUS-Qihoo_DPNs)....