Shyam BV (bvshyam)

bvshyam

Geek Repo

Company:Equifax

Location:Greater Atlanta, USA

Home Page:shyambv.com

Twitter:@shyambv

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Shyam BV's starred repositories

public-apis

A collective list of free APIs

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Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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diagrams

:art: Diagram as Code for prototyping cloud system architectures

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llama_index

LlamaIndex is a data framework for your LLM applications

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Depix

Recovers passwords from pixelized screenshots

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reflex

🕸️ Web apps in pure Python 🐍

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nn-zero-to-hero

Neural Networks: Zero to Hero

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espanso

Cross-platform Text Expander written in Rust

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lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

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mage-ai

🧙 Build, run, and manage data pipelines for integrating and transforming data.

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mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

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financial-machine-learning

A curated list of practical financial machine learning tools and applications.

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notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

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pytrends

Pseudo API for Google Trends

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explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

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samila

Generative Art Generator

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hamilton

A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton

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sig-mlops

CDF SIG MLOps

pinferencia

Python + Inference - Model Deployment library in Python. Simplest model inference server ever.

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Tune-A-Video

Unofficial implementation of Tune-A-Video

feast-aws-credit-scoring-tutorial

Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model

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Nostradamus

Backtesting an algorithmic trading strategy using Machine Learning and Sentiment Analysis.

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GANfolk

GANfolk are AI-generated renderings of fictional people. Each image in the collection was created by a pair of Generative Adversarial Networks (GANs) with names and backstories also created with AI. The GANs were trained using portraits from artists like Renoir, Turner, and Modigliani in addition to open-source, modern photos.

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pytorch-mlflow-optuna

Tutorial on training a PyTorch neural network model using MLflow for experiment tracking & Optuna for hyperparameter optimization.

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stock_sentiment_dashboard

Web app which displays the daily and hourly sentiments for a stock (user to enter ticker as input). Stock sentiments are determined from financial headlines scraped from the web.

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fastapi-boilerplate-with-postgres

A production ready boilerplate/template for FastAPI and PostgreSQL

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