kamilc's Stars
pdm-project/pdm
A modern Python package and dependency manager supporting the latest PEP standards
DataCanvasIO/YLearn
YLearn, a pun of "learn why", is a python package for causal inference
kakaobrain/karlo
fathyb/carbonyl
Chromium running inside your terminal
AutoViML/Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
brycedrennan/imaginAIry
Pythonic AI generation of images and videos
mage-ai/mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
epwalsh/obsidian.nvim
Obsidian 🤝 Neovim
SeldonIO/alibi-detect
Algorithms for outlier, adversarial and drift detection
iancovert/sage
For calculating global feature importance using Shapley values.
Sanster/IOPaint
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
sb-ai-lab/LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
openml-labs/gama
An automated machine learning tool aimed to facilitate AutoML research.
csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
marcotcr/anchor
Code for "High-Precision Model-Agnostic Explanations" paper
jakobrunge/tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
awslabs/fortuna
A Library for Uncertainty Quantification.
yous/whiteglass
Minimal, responsive Jekyll theme for hackers
jeffreytse/jekyll-spaceship
🚀 A Jekyll plugin to provide powerful supports for table, mathjax, plantuml, mermaid, emoji, video, audio, youtube, vimeo, dailymotion, soundcloud, spotify, etc.
brouberol/contexttimer
A timer as a context manager
donlnz/nonconformist
Python implementation of the conformal prediction framework.
yzhao062/SUOD
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
exaloop/codon
A high-performance, zero-overhead, extensible Python compiler using LLVM
christophM/rulefit
Python implementation of the rulefit algorithm
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
pyannote/pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
openai/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
AmruthPillai/Reactive-Resume
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
LAION-AI/Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.