Simple and extensible administrative interface framework for Flask
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A system for quickly generating training data with weak supervision
- machine-learning
- ai
- weak-supervision
- labeling
Event-driven networking engine written in Python.
- python
- twisted
- async
- async-python
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
- openstreetmap
- gis
- street-networks
- overpass-api
Emulator for rapid prototyping of Software Defined Networks
- mininet
- openflow
- sdn
- emulator
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
- cntk
- visualization
- tensorflow
- model-converter
Python module that makes working with XML feel like you are working with JSON
Convolutional Neural Network for Text Classification in Tensorflow
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
- mlops
- machine-learning
- data-science
- production-ready
The Penetration Testers Framework (PTF) is a way for modular support for up-to-date tools.
11 Claude skills for day trading: scan thousands of charts, track breaking news, time every entry and exit, and replay every outcome before you risk a dollar.
- backtesting
- claude
- claude-skills
- day-trading
Deep Reinforcement Learning for Keras.
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Dshell is a network forensic analysis framework.
Markdown Presentations for Tech Conferences, Training, Developer Advocates, and Educators.
🧩 FrontierAgent, our agent framework, open-sourced alongside it — native command-line TUI, ReAct and Agent Team modes, one command on macOS and Linux, no preinstall, no hard Docker dependency.
- agent-orchestration
- ai-agents
- harness
- agentic-ai
Build Graph Nets in Tensorflow
- graph-networks
- graphs
- deep-learning
- neural-networks
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
Superduper: End-to-end framework for building custom AI applications and agents.
- ai
- mlops
- torch
- transformers
Zero-modification Human-in-the-Loop adapter for OpenOPC's agentic DAG runtime.
A PyTorch Library for Accelerating 3D Deep Learning Research
- pytorch
- 3d-deep-learning
- neural-networks
- differentiable-rendering
Dark Web OSINT Tool
- tor
- tor-network
- deepweb
- dark-web
Image augmentation library in Python for machine learning.
- augmentation
- machine-learning
- deep-learning
- neural-networks