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Code for the paper "Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine"
Extrapolating knowledge graphs from unstructured text using GPT-3 ๐ต๏ธโโ๏ธ
A playbook for systematically maximizing the performance of deep learning models.
Implementation of Graph Auto-Encoders in TensorFlow
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Structured state space sequence models
Pytorch implementation of GRU-ODE-Bayes
KU Leuven R/Markdown, plain Markdown and LaTeX templates
Though language model text embeddings have revolutionized NLP research, their ability to capture high-level semantic information, such as relations between entities in text, is limited. In this papโฆ
Python implementation of the conformal prediction framework.
Repository containing notebooks of my posts on Medium
Projects for Video Series titled "Practical OpenCV3 Image Processing with Python"
TFRecord Viewer for browsing contents of TFRecords with object detection/classification annotations.
An Open Source Machine Learning Framework for Everyone
Use RMarkdown to generate PDF Conference Posters via HTML
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course