enod-bataa

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

pyscript

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

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

pycaret

An open-source, low-code machine learning library in Python

nebuly

The user analytics platform for LLMs

cog

Containers for machine learning

interpret

Fit interpretable models. Explain blackbox machine learning.

aim

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

zenml

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

PINTO_model_zoo

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

lightly

A python library for self-supervised learning on images.

optimum

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

nannyml

nannyml: post-deployment data science in python

lightning-flash

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

sam

SAM: Sharpness-Aware Minimization (PyTorch)

DALEX

moDel Agnostic Language for Exploration and eXplanation

responsible-ai-toolbox

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

DeepExplain

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

DrWhy

DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

Fast_Sentence_Embeddings

Compute Sentence Embeddings Fast!

climate-change-data

:earth_africa: A curated list of APIs, open data and ML/AI projects on climate change

doubtlab

Doubt your data, find bad labels.

lightning-pose

Accelerated pose estimation and tracking using semi-supervised convolutional networks.

ray-skorch

Distributed skorch on Ray Train

cml_dvc_case