Beast code in Giters

Joseph Lee's starred repositories

streamlit

Streamlit — A faster way to build and share data apps.

Language:PythonApache-2.03384700

pytorch-lightning

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

Language:PythonApache-2.02767400

catalyst

Accelerated deep learning R&D

Language:PythonApache-2.0325400

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

Language:C++37200

hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Language:PythonMIT70100

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Language:Jupyter NotebookMIT182100

clearml

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Language:PythonApache-2.0549300

videoflow

Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.

Language:PythonMIT100900

pyenv

Simple Python version management

Language:RoffMIT3813100

modAL

A modular active learning framework for Python

Language:PythonMIT218200

mli-resources

H2O.ai Machine Learning Interpretability Resources

Language:Jupyter Notebook48200

iwantaboat

My attempts to set up a raspberry pi based boat

Language:HTMLMIT100

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Language:PythonMIT83900

pyFM

Factorization machines in python

Language:Python91900

fastFM

fastFM: A Library for Factorization Machines

Language:PythonNOASSERTION107200

pywFM

pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM

Language:PythonMIT25000

anchor

Code for "High-Precision Model-Agnostic Explanations" paper

Language:Jupyter NotebookBSD-2-Clause79200

lime

Lime: Explaining the predictions of any machine learning classifier

Language:JavaScriptBSD-2-Clause1145000

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Language:Jupyter NotebookMIT274900

vim-ipython

A two-way integration between Vim and IPython 0.11+

Language:Python103600

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

Language:PythonNOASSERTION2254300

umap

Uniform Manifold Approximation and Projection

Language:PythonBSD-3-Clause727700

traceml

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

Language:PythonApache-2.050000

nitrain

Train AI models efficiently on medical images using any framework

Language:PythonAGPL-3.0185800

fastai-course-1-pytorch

PyTorch port of Rachel's and Jeremy's 1st part Machine Learning course

Language:Jupyter NotebookApache-2.05700

mca

Multiple correspondence analysis

Language:PythonBSD-3-Clause17800

mifs

Parallelized Mutual Information based Feature Selection module.

Language:PythonBSD-3-Clause28700

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

Language:PythonBSD-3-Clause147200

shap

A game theoretic approach to explain the output of any machine learning model.

Language:Jupyter NotebookMIT2226400

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.

Language:PythonApache-2.03255400

joseph-jnl