Pinned Repositories
Anxiety-Detection
COS 429 final project completed by Adam Fisch and Max Shatkhin. Using image processing techniques including Eulerian Video Magnification (see http://people.csail.mit.edu/mrub/vidmag/) and HSV filtering, as well as prediction algorithms such as an HMM, we try to detect anxiety levels of subjects in videos.
calibrated-selective-classification
Calibrated Selective Classification
conformal-cascades
Efficient Conformal Prediction via Cascaded Inference with Expanded Admission
conformal-fp
Conformal Prediction Sets with Limited False Positives
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
few-shot-cp
Few-Shot Conformal Prediction
mit_deeplearning_bootcamp
Resources for Programming Tutorials
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
QA-Turk
Intuitive Annotation Tool for Extractive Question Answering (see https://github.com/Varal7/ieturk)
TypologyParser
Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers
ajfisch's Repositories
ajfisch/conformal-cascades
Efficient Conformal Prediction via Cascaded Inference with Expanded Admission
ajfisch/mit_deeplearning_bootcamp
Resources for Programming Tutorials
ajfisch/Anxiety-Detection
COS 429 final project completed by Adam Fisch and Max Shatkhin. Using image processing techniques including Eulerian Video Magnification (see http://people.csail.mit.edu/mrub/vidmag/) and HSV filtering, as well as prediction algorithms such as an HMM, we try to detect anxiety levels of subjects in videos.
ajfisch/few-shot-cp
Few-Shot Conformal Prediction
ajfisch/conformal-fp
Conformal Prediction Sets with Limited False Positives
ajfisch/QA-Turk
Intuitive Annotation Tool for Extractive Question Answering (see https://github.com/Varal7/ieturk)
ajfisch/TypologyParser
Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers
ajfisch/calibrated-selective-classification
Calibrated Selective Classification
ajfisch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
ajfisch/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
ajfisch/bist-parser
Graph-based and Transition-based dependency parsers based on BiLSTMs
ajfisch/chemprop
Message Passing Neural Networks for Molecule Property Prediction
ajfisch/DiscCaptioning
Code for Discriminability objective for training descriptive captions(CVPR 2018)
ajfisch/gitignore
A collection of useful .gitignore templates
ajfisch/hub
A library for transfer learning by reusing parts of TensorFlow models.
ajfisch/ImageCaptioning.pytorch
Image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)