caseyjconger

caseyjconger's Stars

• coder/code-server

  VS Code in the browser

  Language:TypeScript69.4k5.7k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.3k1.4k

• airbnb/knowledge-repo

  A next-generation curated knowledge sharing platform for data scientists and other technical professions.

  Language:Python5.5k690

• intelligent-environments-lab/CityLearn

  Official reinforcement learning environment for demand response and load shaping

  Language:Python487173

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook98.2k16k

• guidance-ai/guidance

  A guidance language for controlling large language models.

  Language:Jupyter Notebook19.4k1.1k

• sphinx-extensions2/sphinx-autodoc2

  A Sphinx extension that automatically generates API documentation for your Python packages.

  Language:Python8417

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python31k2.9k

• jkfran/killport

  A command-line tool to easily kill processes running on a specified port.

  Language:Rust1.7k37

• jbramburger/DataDrivenDynSyst

  Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

  Language:Jupyter Notebook9714

• pydantic/pydantic

  Data validation using Python type hints

  Language:Python22k2k

• electron/electron

  :electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS

  Language:C++115k15.7k

• amzn/auction-gym

  AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online advertising auctions.

  Language:Jupyter Notebook15738

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python4.7k764

• OpenBB-finance/OpenBB

  Investment Research for Everyone, Everywhere.

  Language:Python34.9k3.2k

• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5.2k788

• linkedin/greykite

  A flexible, intuitive and fast forecasting library

  Language:Python1.8k106

• tensorflow/neural-structured-learning

  Training neural models with structured signals.

  Language:Python985189

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++187k74.4k

• goldmansachs/gs-quant

  Python toolkit for quantitative finance

  Language:Jupyter Notebook8.1k1k

• FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling

  Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

  Language:Python26549

• ourownstory/neural_prophet

  NeuralProphet: A simple forecasting package

  Language:Python3.9k484

• imchillin/Anamnesis

  A standalone tool that allows the user a greater degree of flexibility for making creative and interesting screenshots.

  Language:C#839163

• ml-tooling/best-of-ml-python

  🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

  18.7k2.6k

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  310k77.6k

• aws-samples/sagemaker-studio-custom-image-samples

  This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio

  12889

• data-science-on-aws/data-science-on-aws

  AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

  Language:Jupyter Notebook3.4k1.1k

• pandas-dev/pandas

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  Language:Python44.3k18.1k

• aws/sagemaker-xgboost-container

  This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

  Language:Python13080

• microsoft/tf-gnn-samples

  TensorFlow implementations of Graph Neural Networks

  Language:Python917226