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Utkarsh Tyagi's Projects

asv-anti-spoofing-with-res2net icon asv-anti-spoofing-with-res2net

Implementation of the paper: Replay and Synthetic Speech Detection with Res2Net architecture (ICASSP 2021) https://arxiv.org/abs/2010.15006

best-of-ml-python icon best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

book_recommender icon book_recommender

A basic recommender system to predict n number of books based on collabrative filering technique.

channel-wise-gated-res2net icon channel-wise-gated-res2net

Implementation of the paper: Channel-wise Gated Res2Net: Towards Robust Detection of Synthetic Speech Attacks (INTERSPEECH 2021)

classification_models_hyperparameters_tuning icon classification_models_hyperparameters_tuning

The main aim behind this project is to compare different Regression and classification models on the given data set and perform hyper parameter tuning using GridSearchCV .The dataset is obtained from kaggle.

colorization icon colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

espnet icon espnet

End-to-End Speech Processing Toolkit

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

image2svg-awesome icon image2svg-awesome

All about image tracing and vectorization—the conversion of a raster image (jpg/png) to a vector image (svg).

ktrain icon ktrain

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

llm-course icon llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

madewithml icon madewithml

Learn how to responsibly deliver value with ML.

mlops icon mlops

A project-based course on the foundations of MLOps with a focus on intuition and application.

olympics_dataset_visuals_kaggle icon olympics_dataset_visuals_kaggle

A visual description of Olympics data from kaggle using Plotly and Seaborn. Also the graphs from plotly are not visible here but they will be present when the code is opened in jupyter notebook.

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