Collin Burns's repositories
feature-alignment
Code for "Limitations of Post-Hoc Feature Alignment for Robustness".
amti
A Mechanical Turk Interface (amti) 🤖
ethics
Can Current ML Models Learn Right from Wrong?
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
imagenet-r
ImageNet-R(endition) and DeepAugment
math
The MATH Dataset
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
outlier-exposure
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
pytorch-classification
Classification with PyTorch.
pytorch-explain-black-box
PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
pytorch-loss
label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
pytorch-smoothgrad
SmoothGrad implementation in PyTorch
review_object_detection_metrics
Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.
robustness-1
Corruption and Perturbation Robustness (ICLR 2019)
the-plain
A minimalist Jekyll theme, that's it. Can't say anymore...
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.