parkerzf

pytorch-forecasting

Time series forecasting with PyTorch

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

dspy

DSPy: The framework for programming—not prompting—foundation models

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

large-language-models

Notebooks for Large Language Models (LLMs) Specialization

Time-Series-Library

A Library for Advanced Deep Time Series Models.

Autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

evidently

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

causalml

Uplift modeling and causal inference with machine learning algorithms

awesome-causality-data

A data index for learning causality.

modAL

A modular active learning framework for Python

leetcode-patterns

A pattern-based approach for learning technical interview questions

lifetimes

Lifetime value in Python

Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

continue

⏩ Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains

graphlearn-for-pytorch

A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.

cdlib

Community Discovery Library

captum

Model interpretability and understanding for PyTorch

python-fire

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

langchain

🦜🔗 Build context-aware reasoning applications

skorch

A scikit-learn compatible neural network library that wraps PyTorch

graphstorm

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

dataprep

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

graph-benchmarks

pymetis

A Python wrapper around Metis, a graph partitioning package

realtime-fraud-detection-with-gnn-on-dgl

An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.

morpheus

Morpheus brings the leading graph query language, Cypher, onto the leading distributed processing platform, Spark.

janusgraph

JanusGraph: an open-source, distributed graph database

dgl-operator

The DGL Operator makes it easy to run Deep Graph Library (DGL) graph neural network training on Kubernetes