stanton119's Stars
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
explosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
huggingface/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
visenger/awesome-mlops
A curated list of references for MLOps
CompVis/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
great-expectations/great_expectations
Always know what to expect from your data.
kedro-org/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.
vega/altair
Declarative visualization library for Python
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
hibayesian/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
TDAmeritrade/stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
data-science-on-aws/data-science-on-aws
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
ethen8181/machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
eugeneyan/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
cerlymarco/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
Arturus/kaggle-web-traffic
1st place solution
bytehub-ai/bytehub
ByteHub: making feature stores simple
vc0489/ChinesePokerAI