Search Results for author: Sanjay Vishwakarma

Found 4 papers, 2 papers with code

Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code

no code implementations29 May 2024 Nicolas Dupuis, Luca Buratti, Sanjay Vishwakarma, Aitana Viudes Forrat, David Kremer, Ismael Faro, Ruchir Puri, Juan Cruz-Benito

To evaluate our models, we have developed a custom benchmark, similar to HumanEval, which includes a set of tests specifically designed for the field of quantum computing programming using Qiskit.

Optimal partition of feature using Bayesian classifier

no code implementations27 Apr 2023 Sanjay Vishwakarma, Srinjoy Ganguly

The Naive Bayesian classifier is a popular classification method employing the Bayesian paradigm.

PSP-HDRI$+$: A Synthetic Dataset Generator for Pre-Training of Human-Centric Computer Vision Models

1 code implementation11 Jul 2022 Salehe Erfanian Ebadi, Saurav Dhakad, Sanjay Vishwakarma, Chunpu Wang, You-Cyuan Jhang, Maciek Chociej, Adam Crespi, Alex Thaman, Sujoy Ganguly

We introduce a new synthetic data generator PSP-HDRI$+$ that proves to be a superior pre-training alternative to ImageNet and other large-scale synthetic data counterparts.

Keypoint Estimation

Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches

1 code implementation16 Sep 2020 Juan Cruz-Benito, Sanjay Vishwakarma, Francisco Martin-Fernandez, Ismael Faro

Considering the increasing popularity of the Deep-Learning-enabled language models approach, we detected a lack of empirical papers that compare different deep learning architectures to create and use language models based on programming code.

Code Generation Language Modelling +2

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