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David Nukrai's Projects

aitemplate icon aitemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

capdec icon capdec

CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)

clevr-er icon clevr-er

CLEVR-ER is a dataset for diagnosis of relations understanding. It creates synthetic data similar to CLEVR but it adds relational information between the objects.

clouds-images-segmentation icon clouds-images-segmentation

A codebase for the work that was presented at AMS 2021 - Marine Stratocumulus Cloud Type Classification from SEVIRI using Convolutional Neural- Networks (CNN) and their Diurnal Cycle over the South-East Atlantic Ocean during ORACLES as in the link below.

clouds_segmentation icon clouds_segmentation

segmentation of satellite images of clouds into three types Open MCC, Closed MC and others [Remote Sensing 2023].

gen-vlkt icon gen-vlkt

Code for our CVPR 2022 Paper "GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection"

gitignore icon gitignore

A collection of useful .gitignore templates

ipa-dict icon ipa-dict

Monolingual wordlists with pronunciation information in IPA

qaboard icon qaboard

Algorithm engineering is hard enough: don't spend your time with logistics. QA-Board organizes your runs and lets you visualize, compare and share results.

scene-graph-benchmark.pytorch icon scene-graph-benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

segment-anything icon 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.

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