AdityaSidharta

mermaid

Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

project-layout

Standard Go Project Layout

cobra

A Commander for modern Go CLI interactions

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

logrus

Structured, pluggable logging for Go.

ngrok

Unified ingress for developers

dagster

An orchestration platform for the development, production, and observation of data assets.

ta

Technical Analysis Library using Pandas and Numpy

cast

safe and easy casting from one type to another in Go

go-build-template

A Makefile/Dockerfile example for Go projects.

ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

goreportcard

A report card for your Go application

manifold

A model-agnostic visual debugging tool for machine learning

python-slugify

Returns unicode slugs

pydocstyle

docstring style checker

lofo-importance

Leave One Feature Out Importance

bootstrapped

Generate bootstrapped confidence intervals for A/B testing in Python.

photoshop-scripting-python

Scripting in Photoshop is used to automate a wide variety of repetitive task or as complex as an entire new feature

weightedrand

:balance_scale: Fast weighted random selection for Go

xam

:dart: Personal data science and machine learning toolbox

forest-confidence-interval

Confidence intervals for scikit-learn forest algorithms

Awesome-Indonesia-NLP

Resource NLP & Bahasa

BoostARoota

A fast xgboost feature selection algorithm

option_tools

期权隐含波动率/历史波动率

kamus-alay

drnet

💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.

python-project-template

Starter template for python projects

model_test

A proof of concept library for generating and running machine learning model tests

options-calculator

Calculate expected profit & loss for options