Stars
Example LangGraph flow that does "competitor analysis" on the web.
LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.
A Natural Language Interface to Explainable Boosting Machines
Generate Diverse Counterfactual Explanations for any machine learning model.
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
A collection of solutions for Automate The Boring Stuff with extra programs to make your progress through the book easier
TakeTwo solution provides a quick and simple tool for media creators and media consumers to be more vigilant to detect and eliminate racial bias (both overt and subtle) in their content
Opinionated scripts for managing application deployment lifecycle in Kubernetes
mikewlange / rok8s-scripts
Forked from FairwindsOps/rok8s-scriptsOpinionated scripts for managing application deployment lifecycle in Kubernetes
🦄 State-of-the-Art Conversational AI with Transfer Learning
Terminal based "The Matrix" like implementation
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Book about interpretable machine learning
mikewlange / mlflow
Forked from mlflow/mlflowOpen source platform for the machine learning lifecycle
Web user interface for ScalaFiddle
ETL best practices with airflow, with examples
⠕ Universal Package Manager - Python, Node.js, Ruby, Emacs Lisp.
Modin: Scale your Pandas workflows by changing a single line of code
bitnom / superPeer
Forked from Dletta/superPeerPersistent Gun super peer supporting HTTP and HTTPS/SSL.
Google AI Research
🔥 A well-tested feature-rich modular Firebase implementation for React Native. Supports both iOS & Android platforms for all Firebase services.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
This repo is created for the Spark Wikipedia Parsing Data Science Pipeline project
MixMatch Domain Adaptation: Prize-winning solution for both tracks of VisDA 2019 challenge
Referenceless quality estimation for natural language generation – predicting human ratings