Pinned Repositories
Caption-Lifetime-by-Asking-Questions
Code for the paper Learning to Caption Images through a Lifetime by Asking Questions
Exact-Inference-VAE-Robustness
CSC 2541 Project
Overfitting-the-ML-Interview
papers-experiments
What papers I'm reading, what I found interesting, ideas, etc.
Pytorch-Mean-Teacher
Pytorch-Sequence-Bucket-Iterator
A minimal sampler example for bucketing sequences of similar lengths in Pytorch based off of @TrentBrick script https://gist.github.com/TrentBrick/bac21af244e7c772dc8651ab9c58328c.
Ultrasound-Imaging-Support-Vector-Machine
Code for ENPH 459 Capstone project. Includes ultrasound data feature extraction and support vector machine classification.
shenkev's Repositories
shenkev/Pytorch-Mean-Teacher
shenkev/Overfitting-the-ML-Interview
shenkev/Pytorch-Sequence-Bucket-Iterator
A minimal sampler example for bucketing sequences of similar lengths in Pytorch based off of @TrentBrick script https://gist.github.com/TrentBrick/bac21af244e7c772dc8651ab9c58328c.
shenkev/Caption-Lifetime-by-Asking-Questions
Code for the paper Learning to Caption Images through a Lifetime by Asking Questions
shenkev/Causal-Effect-Datasets
shenkev/CEVAE
Causal Effect Inference with Deep Latent-Variable Models
shenkev/cider
python codes for CIDEr - Consensus-based Image Caption Evaluation
shenkev/coco-caption
shenkev/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
shenkev/FaceForensics
Github of the FaceForensics dataset
shenkev/fc-clip
[NeurIPS 2023] This repo contains the code for our paper Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
shenkev/former
Simple transformer implementation from scratch in pytorch.
shenkev/Gaussian-Process-demo
Interactive Gaussian Process demo, useful for live demonstration when teaching Gaussian Processes.
shenkev/gittins_indices
Gittins indices for Bernoulli bandits
shenkev/haskell
shenkev/interventions_titanic
shenkev/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
shenkev/PASCAL-Generative-Models
shenkev/profiling-shap
shenkev/programming-language-classification
shenkev/Pyro-Tutorial
shenkev/Relating_ObjectiveComplexity_SubjectiveComplexity_Beauty_BinaryPixelPatterns
Relating Objective Complexity Subjective Complexity and Beauty in Binary Pixel Patterns
shenkev/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
shenkev/simplicity-in-complexity
shenkev/spanish-high-speed-rail-pricing
shenkev/test2
shenkev/test3
shenkev/Webdev-Cheatsheet
shenkev/whynot-tutorials
shenkev/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow