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PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
A resource for learning about Machine learning & Deep Learning
Neural Networks: Zero to Hero
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…
code for the ICLR'22 paper: On Robust Prefix-Tuning for Text Classification
Prefix-Tuning: Optimizing Continuous Prompts for Generation
A playbook for systematically maximizing the performance of deep learning models.
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
BERTMap: A BERT-Based Ontology Alignment System
Social Network Analysis. Lecture Materials & Video (march 2013)
rarezhang / coursera-sna
Forked from ladamalina/coursera-snaSocial Network Analysis. Lecture Materials & Video (march 2013)
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
🎓RESEARCH [NLP đź’] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
System for Medical Concept Extraction and Linking
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Python package for comorbidity index calculation
General purpose unsupervised sentence representations