Pinned Repositories
tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
11747p1
An-Overview-and-Comparative-Analysis-on-Major-Generative-Models
Block-Sparse-Benchmark
Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.
Character-Extraction-From-Photos
Distinguish time characters from video thumbnails
Classify-Hand-Movements
Our goal is to classify biological data gathered from sEMG signals into six classes of hand movements. The approaches we used include feedforward neural networks, boosting, random forests, linear discriminant classifier, etc.
incubator-tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Multilingual-Question-Answering-Tasks-on-TYDI-QA
NYC-Taxi-Trip-Duration-Prediction
This project investigates several machine learning methods to predict taxi travel time in NYC.
TritonTravel
ceruleangu's Repositories
ceruleangu/Block-Sparse-Benchmark
Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.
ceruleangu/Classify-Hand-Movements
Our goal is to classify biological data gathered from sEMG signals into six classes of hand movements. The approaches we used include feedforward neural networks, boosting, random forests, linear discriminant classifier, etc.
ceruleangu/NYC-Taxi-Trip-Duration-Prediction
This project investigates several machine learning methods to predict taxi travel time in NYC.
ceruleangu/11747p1
ceruleangu/An-Overview-and-Comparative-Analysis-on-Major-Generative-Models
ceruleangu/Character-Extraction-From-Photos
Distinguish time characters from video thumbnails
ceruleangu/incubator-tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
ceruleangu/Multilingual-Question-Answering-Tasks-on-TYDI-QA
ceruleangu/tydiqa
TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and without the use of translation, and is designed for the training and evaluation of automatic question answering systems. This repository provides evaluation code and a baseline system for the dataset.
ceruleangu/Unsupervised-Classification-for-Geographical-Data