AutoML library for deep learning
- automl
- neural-architecture-search
- automated-machine-learning
- python
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AutoML library for deep learning
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
OctoPrint is the snappy web interface for your 3D printer!
Chisel is a collection of LLDB commands to assist debugging iOS apps.
Supervisor process control system for Unix (supervisord)
Prevent cloud misconfigurations and find vulnerabilities during build-time in infrastructure as code, container images and open source packages with Checkov by Bridgecrew.
An interactive command-line HTTP and API testing client built on top of HTTPie featuring autocomplete, syntax highlighting, and more. https://twitter.com/httpie
Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported
Deep universal probabilistic programming with Python and PyTorch
Open Source HR and Payroll Software
Speech recognition module for Python, supporting several engines and APIs, online and offline.
Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
A curated list of practical financial machine learning tools and applications.
AI Toolkit for Healthcare Imaging
A template for PostgreSQL High Availability with Etcd, Consul, ZooKeeper, or Kubernetes
Python library for audio and music analysis
bottle.py is a fast and simple micro-framework for python web-applications.
A library that allows you to easily mock out tests based on AWS infrastructure.
A Python implementation of global optimization with gaussian processes.
AlphaFold 3 inference pipeline.
CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
Malicious traffic detection system