Manish Kumar (mkumar73)

mkumar73

Geek Repo

Company:TU Clausthal

Location:Germany

Home Page:https://www.linkedin.com/in/mkumar73/

Twitter:@manishkr73

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Organizations
basf
KaveIO

Manish Kumar's starred repositories

excalidraw

Virtual whiteboard for sketching hand-drawn like diagrams

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gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

Language:PythonLicense:MITStargazers:46804Issues:485Issues:377

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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google-research

Google Research

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ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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deeplearning-models

A collection of various deep learning architectures, models, and tips

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Language:PythonLicense:MITStargazers:15543Issues:647Issues:850

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

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nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Language:PythonLicense:MITStargazers:13918Issues:284Issues:2079

system_design

Preparation links and resources for system design questions

tianshou

An elegant PyTorch deep reinforcement learning library.

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Machine-Learning-Collection

A resource for learning about Machine learning & Deep Learning

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example-code

Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)

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Pluto.jl

🎈 Simple reactive notebooks for Julia

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open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

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Auto-PyTorch

Automatic architecture search and hyperparameter optimization for PyTorch

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time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

Language:Jupyter NotebookLicense:MITStargazers:1682Issues:2619Issues:285

ultimate-fastapi-tutorial

The Ultimate FastAPI Tutorial

reverb

Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research

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torchprofile

A general and accurate MACs / FLOPs profiler for PyTorch models

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stat453-deep-learning-ss21

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)

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Decision-Making-Under-Uncertainty

Decision making under uncertainty using the POMDPs.jl ecosystem taught by Robert Moss

argoflow

Argoflow has been superseded by deployKF

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deep_architect

A general, modular, and programmable architecture search framework

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avalanche-rl

Avalanche fork adding RL support

Language:PythonLicense:MITStargazers:67Issues:8Issues:14

uninas

A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).

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maxhalford.github.io

:house_with_garden: Personal website

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