amurichu

Rath

Next generation of automated data exploratory analysis and visualization platform.

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

dataloader

The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX

semantic-segmentation-ml-pipeline

Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products

stable-diffusion-tensorflow

Stable Diffusion in TensorFlow / Keras

guided-diffusion-keras

Text to Image Diffusion Models in Keras

zvt

modular quant framework.

python-telegram-bot

We have made you a wrapper you can't refuse

category_encoders

A library of sklearn compatible categorical variable encoders

nebuly

The user analytics platform for LLMs

snapml-templates

docs

Top-level directory for documentation and general content

sparsify

ML model optimization product to accelerate inference.

sparsezoo

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

deepsparse

Sparsity-aware deep learning inference runtime for CPUs

sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

kubric

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

deeplearning.ai

These notes were taken from https://github.com/mbadry1/DeepLearning.ai-Summary and augmented with my personal annotations

data-science-resources

A list of useful blog posts, papers, and websites for all things data science

structural-time-series

Structural Time Series on US electricity demand data

tutorials

Colab/Jupyter tutorials about training TensorFlow models for Edge TPU, and other tutorials

AIfES_for_Arduino

This is the Arduino® compatible port of the AIfES machine learning framework, developed and maintained by Fraunhofer Institute for Microelectronic Circuits and Systems.

vertex-ai-samples

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

tensorflow

An Open Source Machine Learning Framework for Everyone

argo-workflows

Workflow Engine for Kubernetes

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

optuna

A hyperparameter optimization framework

FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

fairing

Python SDK for building, training, and deploying ML models