Sanyam07

mlops-at-edge-for-quality-inspection

arguseyes

asyncpg

A fast PostgreSQL Database Client Library for Python/asyncio.

Awesome-GPU

Awesome resources for GPUs

Awesome-System-for-Machine-Learning

A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

aws-machine-learning-university-accelerated-cv

Machine Learning University: Accelerated Computer Vision Class

bhai-lang

A toy programming language written in Typescript

FastTreeSHAP

Fast SHAP value computation for interpreting tree-based models

flowpoints.js

A developer-friendly library for creating flowcharts and diagrams.

flowpoints_ml

An intuitive approach to creating deep learning models

front-end-interview-handbook

⚡️ Front End interview preparation materials for busy engineers

FRUFS

An unsupervised feature selection technique using supervised algorithms such as XGBoost

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

immutables

A high-performance immutable mapping type for Python.

jina

Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

langchain

⚡ Building applications with LLMs through composability ⚡

LeetCode-Feedback

ML-Model-CI

MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

NASLib

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

oh-my-posh

A prompt theme engine for any shell.

PyTorch-Deep-Learning-Template

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

recommenders

Best Practices on Recommendation Systems

rliable

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

System-Design-1

SYSTEM DESIGN IS NOT JUST FOR INTERVIEWS, IT CAN BE HOW YOU MANAGE YOUR LIFE. How is modern software designed? 🤔 Some design-level considerations for scalability, maintainability eventual consistency, availability & reliability. 👨‍💻 Interview Prep. 👨‍💻

system-design-2

tech-interview-handbook

💯 Curated interview preparation materials for busy engineers

The-Kaggle-Book

Code Repository for The Kaggle Book, Published by Packt Publishing

torchnnprofiler

Context Manager to profile the forward and backward times of PyTorch's nn.Module

yt-dlp

A youtube-dl fork with additional features and fixes