Vishnu Vemuru (vishnumvemuru)

vishnumvemuru

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annotated_deep_learning_paper_implementations

๐Ÿง‘โ€๐Ÿซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

Language:PythonLicense:MITStargazers:52381Issues:436Issues:130

dive

A tool for exploring each layer in a docker image

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Language:Jupyter NotebookLicense:MITStargazers:26536Issues:1370Issues:245

yfinance

Download market data from Yahoo! Finance's API

Language:PythonLicense:Apache-2.0Stargazers:12622Issues:239Issues:1306

system-design

A resource to help you pass system design interview and become good at work

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

Language:PythonLicense:NOASSERTIONStargazers:10179Issues:188Issues:43

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

Language:PythonLicense:MITStargazers:7683Issues:129Issues:355

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Language:Jupyter NotebookStargazers:7157Issues:386Issues:2

metaseq

Repo for external large-scale work

Language:PythonLicense:MITStargazers:6444Issues:111Issues:292

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Language:Jupyter NotebookLicense:MITStargazers:4033Issues:73Issues:4

jira-cli

๐Ÿ”ฅ Feature-rich interactive Jira command line.

statsforecast

Lightning โšก๏ธ fast forecasting with statistical and econometric models.

Language:PythonLicense:Apache-2.0Stargazers:3771Issues:38Issues:317

dtreeviz

A python library for decision tree visualization and model interpretation.

Language:Jupyter NotebookLicense:MITStargazers:2899Issues:46Issues:204

mlops-course

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

Language:Jupyter NotebookLicense:MITStargazers:2842Issues:55Issues:19

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

Language:PythonLicense:BSD-3-ClauseStargazers:2737Issues:63Issues:647

lectures

Material for cuda-mode lectures

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:2007Issues:31Issues:7

cvxpylayers

Differentiable convex optimization layers

Language:PythonLicense:Apache-2.0Stargazers:1760Issues:55Issues:112

lsp-bridge

A blazingly fast LSP client for Emacs

Language:Emacs LispLicense:GPL-3.0Stargazers:1384Issues:18Issues:463

pytorch-fm

Factorization Machine models in PyTorch

Language:PythonLicense:MITStargazers:1010Issues:16Issues:38

hamilton

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

Language:PythonLicense:BSD-3-Clause-ClearStargazers:865Issues:20Issues:106

spacetimeformer

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

Language:Jupyter NotebookLicense:MITStargazers:755Issues:21Issues:80

streamlit-pydantic

๐Ÿช„ Auto-generate Streamlit UI from Pydantic Models and Dataclasses.

Language:PythonLicense:MITStargazers:384Issues:7Issues:38

squirrel-core

A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

Language:PythonLicense:Apache-2.0Stargazers:281Issues:16Issues:11

StorageVET

StorageVET 2.0 is a valuation model for analysis of energy storage technologies and some other energy resources paired with storage. The tool can be used as a standalone model, or integrated with other power system models, thanks to its open-source Python framework. Download the executable environment and learn more at https://www.storagevet.com.

Language:PythonLicense:BSD-3-ClauseStargazers:63Issues:20Issues:6

awesome-emacs

A community driven list of useful Emacs packages, libraries and others.

License:UnlicenseStargazers:48Issues:2Issues:0

investment-funnel

Investment Funnel ๐Ÿ“ˆ is an open-source python platform designed for an easy development and backtesting of outperforming investment strategies.

Language:PythonLicense:MITStargazers:48Issues:4Issues:80

FreeLunch

Meta-heuristic optimisation suite for python

Language:PythonLicense:MITStargazers:46Issues:1Issues:26

Simscape-Battery-Library

A Li-ion battery library written in Matlab Simscape language. Battery models include: TSPMeA, TSPMe, TECMD, TECM and a few utility components

Language:MATLABLicense:MITStargazers:44Issues:2Issues:1

causal_ccm

Package implementing Convergent Cross Mapping for causality inference in dynamical systems

Language:Jupyter NotebookLicense:MITStargazers:39Issues:2Issues:6