Jonesn11's Stars
usail-hkust/t-PatchGNN
Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach"
deepseek-ai/DeepSeek-Coder-V2
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
TDAmeritrade/stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
danielgross/LlamaAcademy
A school for camelids
Stability-AI/StableLM
StableLM: Stability AI Language Models
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.
aliasgharkhani/Masktune
LambdaLabsML/examples
Deep Learning Examples
aangelopoulos/conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
dynamicslab/pysindy
A package for the sparse identification of nonlinear dynamical systems from data
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
patrickmineault/codebook
The Good Research Code Handbook
jakobrunge/tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
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
phlippe/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
pyscript/pyscript
Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
srush/Tensor-Puzzles
Solve puzzles. Improve your pytorch.
CompVis/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
TalwalkarLab/leaf
Leaf: A Benchmark for Federated Settings
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
jacopotagliabue/you-dont-need-a-bigger-boat
An end-to-end implementation of intent prediction with Metaflow and other cool tools
HypothesisWorks/hypothesis
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
forrtproject/forrtproject.github.io
FORRT Website
SeldonIO/alibi
Algorithms for explaining machine learning models
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
EleutherAI/gpt-neo
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
the-full-stack/website
Source for https://fullstackdeeplearning.com
pbloem/former
Simple transformer implementation from scratch in pytorch.
scikit-learn/scikit-learn
scikit-learn: machine learning in Python