Starred repositories
Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
How to perform training on Amazon SageMaker using SageMaker's script mode and debug using Amazon SageMaker Debugger.
In this repo, we show how to host two computer vision models trained using the TensorFlow framework under one SageMaker multi-model endpoint.
This sample code demonstrates how to build an Amazon SageMaker environment for HPO using Optuna (an open source hyperparameter tuning framework).
Hands-on end-to-end workshop to explore Amazon SageMaker.
Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)
Workshop showcasing how to run defect detection using computer vision at the edge with Amazon SageMaker
A 90-minute hands on workshop about Hugging Face on SageMaker.
An open-source, low-code machine learning library in Python
The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!
A Python implementation of global optimization with gaussian processes.
Ethereum.org is a primary online resource for the Ethereum community.
🦄 🦄 🦄 Core smart contracts of Uniswap v3
Notebooks using the Hugging Face libraries 🤗
Repository using NLP techniques such as Transformers, Frequency analysis, document similarity at Warren Buffets texts.
Inner-space preserving generative pose machine (ECCV2018)
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
"The individual is ephemeral, races and nations come and pass away, but man remains."― Nikola Tesla
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Updated Sep 28, 2020
this is a collection of books and courses for machine learning.
CausalLift: Python package for causality-based Uplift Modeling in real-world business
This is the companion GitHub repository for the talk on causal data science
MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning based algorithms.