Repository Index

Community Discovery Library

• community-discovery
• complex-networks
• community-evaluation
• cdlib

Asyncio (pep 3156) integration with ZeroMQ

• asyncio
• zeromq
• zmq

Code and data for GeneGPT.

The repository host gives no description.

Low-latency local speech-to-speech voice assistant with Ming-3.0-audio-tiny on AMD and Nvidia GPUs. Easy setup on Windows and Linux

• amd
• local-llm
• radeon
• realtime

Python script to import issues from one repository into another, either one at a time or all of them at once.

Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"

• audio
• audio-classification
• audio-processing
• audio-tagging

AppiumLibrary is an appium testing library for RobotFramework

• python
• robotframework
• appium
• library

aiomisc - miscellaneous utils for asyncio

• asyncio
• miscellaneous
• server-client
• service

Turn typed Python functions into web interfaces.

Naive-N0.5-Flash is an open-weight 309B MoE model with 15.5B active parameters, built for coding and AI R&D.

:hammer: Manage your website via terminal

• php
• security-tools
• python
• pentest

A gsm phone using pyboard and sim800l

A model generator for energy system modelling and optimisation (LP/MILP).

• energy
• energy-system
• modelling
• modelling-framework

Deep Learning Resources and Tutorials using Keras and Lasagne

A pythonic python wrapper around FFTW

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

• robotics
• tracking
• computer-vision
• pose-estimation

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

• trajectory-optimization
• differential-dynamic-programming
• theano
• dynamics-models

GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations

Crop Yield Prediction with Deep Learning

DeepSeek-V4.1-Flash-1017 EXL3 on 2x DGX Sparks with TensorFold

TranslatedOne zero-dependency MCP gateway CLI for every server and agent skill. Token optimization, tool discovery and context compression: 71,929 -> 581 tokens (-99.2%, measured), schemas stay out of context. One config for Claude Code, Codex, Cursor, every agent. 561KB, pure Python. | Zero-dependency CLI: manages all MCP tools and skills, and tool discovery saves 99.2% of tokens.

• mcp
• claude
• claude-code
• cursor

Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)

A Python toolkit for processing tabular data

• pandas
• csv
• xml
• xlsx