Jonesn11

Jonesn11's Stars

• usail-hkust/t-PatchGNN

  Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach"

  Language:Python292

• deepseek-ai/DeepSeek-Coder-V2

  DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

  1.8k86

• TDAmeritrade/stumpy

  STUMPY is a powerful and scalable Python library for modern time series analysis

  Language:Python3.6k315

• danielgross/LlamaAcademy

  A school for camelids

  Language:Python1.2k77

• Stability-AI/StableLM

  StableLM: Stability AI Language Models

  Language:Jupyter Notebook15.9k1k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook46.4k5.5k

• aliasgharkhani/Masktune

  Language:Python215

• LambdaLabsML/examples

  Deep Learning Examples

  Language:Jupyter Notebook801103

• aangelopoulos/conformal-prediction

  Lightweight, useful implementation of conformal prediction on real data.

  Language:Jupyter Notebook73182

• dynamicslab/pysindy

  A package for the sparse identification of nonlinear dynamical systems from data

  Language:Python1.4k308

• unit8co/darts

  A python library for user-friendly forecasting and anomaly detection on time series.

  Language:Python7.8k847

• patrickmineault/codebook

  The Good Research Code Handbook

  Language:Python55536

• jakobrunge/tigramite

  Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

  Language:Jupyter Notebook1.3k275

• 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:Python43.1k17.7k

• phlippe/uvadlc_notebooks

  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

  Language:Jupyter Notebook2.4k555

• pyscript/pyscript

  Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2

  Language:Python17.8k1.4k

• srush/Tensor-Puzzles

  Solve puzzles. Improve your pytorch.

  Language:Jupyter Notebook3k245

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook11.4k1.5k

• TalwalkarLab/leaf

  Leaf: A Benchmark for Federated Settings

  Language:Python829243

• matheusfacure/python-causality-handbook

  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

  Language:Jupyter Notebook2.6k460

• jacopotagliabue/you-dont-need-a-bigger-boat

  An end-to-end implementation of intent prediction with Metaflow and other cool tools

  Language:Python83464

• HypothesisWorks/hypothesis

  Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

  Language:Python7.5k579

• forrtproject/forrtproject.github.io

  FORRT Website

  Language:HTML3018

• SeldonIO/alibi

  Algorithms for explaining machine learning models

  Language:Python2.4k249

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37k5.9k

• chiphuyen/ml-interviews-book

  https://huyenchip.com/ml-interviews-book/

  Language:HTML3.3k504

• EleutherAI/gpt-neo

  An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

  Language:Python8.2k942

• the-full-stack/website

  Source for https://fullstackdeeplearning.com

  Language:HTML1.1k204

• pbloem/former

  Simple transformer implementation from scratch in pytorch.

  Language:Python1k170

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.3k25.2k