I'm an Applied Scientist at Amazon Science. I work in the Traffic Quality team, where we devise Machine Learning techniques to detect advertisement bots. I love contributing to open source and have been contributing extensively to KerasNLP.
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Focusing
Applied Scientist at Amazon | Contributor at KerasNLP | CS + Math Alumnus at BITS Goa
- Bangalore, India
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20:45
(UTC +05:30) - https://abheesht17.github.io/
- @penstrokes75
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super-pixels
super-pixels PublicCode for our paper: Superpixel-based Domain-Knowledge Infusion in Computer Vision (https://arxiv.org/abs/2105.09448)
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keras-team/keras-nlp
keras-team/keras-nlp PublicModular Natural Language Processing workflows with Keras
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rajaswa/DRIFT
rajaswa/DRIFT PublicDRIFT is a tool for Diachronic Analysis of Scientific Literature.
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dalgu90/icd-coding-benchmark
dalgu90/icd-coding-benchmark PublicAutomatic ICD coding benchmark based on the MIMIC dataset
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gchhablani/toxic-spans-detection
gchhablani/toxic-spans-detection PublicRepository for our code and experiments on SemEval-2021 Task-5 Toxic Spans Detection.
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bigscience-workshop/promptsource
bigscience-workshop/promptsource PublicToolkit for creating, sharing and using natural language prompts.
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