Tensorforce: a TensorFlow library for applied reinforcement learning
- reinforcement-learning
- tensorflow
- deep-reinforcement-learning
- tensorflow-library
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Tensorforce: a TensorFlow library for applied reinforcement learning
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.
Full-screen console debugger for Python
Eleven free Claude skills that run a LinkedIn account: posts off 21 hook formulas, comments, replies, profile score, weekly plan, and a humanizer that strips the AI fingerprint and scores the draft before it goes out.
Visualize and compare datasets, target values and associations, with one line of code.
:sunglasses: A curated list of robotics libraries and software
TensorFlow (Python API) implementation of Neural Style
A Simple and Versatile Framework for Object Detection and Instance Recognition
A fast yet powerful Python Markdown parser with renderers and plugins, fully CommonMark compliant.
Simplifies writing DocBlock comments in Javascript, PHP, CoffeeScript, Actionscript, C & C++
Plasma is an interactive disassembler for x86/ARM/MIPS. It can generates indented pseudo-code with colored syntax.
pg_activity is a top like application for PostgreSQL server activity monitoring.
Get production-ready images, video, audio, and 3D from any AI agent: skills that pick the right model, price before spending, and keep characters and brands consistent through the Scenario MCP, plus expert teams that drive Blender, Maya, ZBrush, Unreal, and Unity.
Strict separation of config from code.
Automatically mock your HTTP interactions to simplify and speed up testing
README file generator, powered by AI.
A generic, spec-compliant, thorough implementation of the OAuth request-signing logic
PPPwn - PlayStation 4 PPPoE RCE
The strictest and most opinionated python linter ever!
With Holoviews, your data visualizes itself.
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Infrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right brain, storing information and emotions respectively, while a fully streaming architecture eliminates latency at the fundamental level.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.