tl;dr A step-by-step tutorial to upscale anime images by 2x using Waifu2x and CARN V2 super resolution models. 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. Continue on if you prefer reading the code here....
tl;dr A step-by-step tutorial to generate spoken audio from text automatically using a pipeline of Nvidia’s Tacotron2 and WaveGlow models and applying speech enhancement. 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 generate spoken audio from text automatically using the enterprise-grade SileroTTS model and applying speech enhancement. 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. Continue on if you prefer reading the code here....
tl;dr A step-by-step tutorial to detect people in photos automatically using the ultra-fast You-Only-Look-Once (YOLOv5) model. 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. Continue on if you prefer reading the code here....
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....