Sanyam07

asyncpg

A fast PostgreSQL Database Client Library for Python/asyncio.

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

dev-setup

macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.

pytorch-seq2seq

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

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

bhai-lang

A toy programming language written in Typescript

Awesome-System-for-Machine-Learning

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

immutables

A high-performance immutable mapping type for Python.

rliable

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

LeetCode-Feedback

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.

FastTreeSHAP

Fast SHAP value computation for interpreting tree-based models

flowpoints_ml

An intuitive approach to creating deep learning models

PyTorch-Deep-Learning-Template

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

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.

pycode_similar

A simple plagiarism detection tool for python code

DeepLearning

Deep Learning introduction and its application in various fields

Flask-Stripe-MySQL-Bootstrapped

Flask template with microservices architecture. Fully integrated with Stripe 🚀

FRUFS

An unsupervised feature selection technique using supervised algorithms such as XGBoost

torchnnprofiler

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

python-logging-examples

Sobol-Attribution-Method

👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)

pytorch-learning

learning notes when learning the source code of pytorch

CS224N

Solutions for Stanford CS224n, Winter 2020.

arguseyes

mlops-at-edge-for-quality-inspection

kedro

A Python framework for creating reproducible, maintainable and modular data science code.

Mastering-Python-Design-Patterns-Second-Edition

Mastering-Python-Design-Patterns-Second-Edition, published by Packt

python-logging-examples

Sobol-Attribution-Method

👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)