Code repository for "TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations"
- 3d-point-tracking
- point-tracking
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Code repository for "TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations"
Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
Build AI phone agents on your own computer and test every change with an AI caller. Open source, runs free with no API keys, cents per call with your own keys. Imports Dialogflow CX.
SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud (CVPR 2020)
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Graph-linked unified embedding for single-cell multi-omics data integration
99+ CLI tools to build, browse, and blend your media library
:sound: spafe: Simplified Python Audio Features Extraction
Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.
Python version of the SGP4 satellite position library
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
Deep Learning Library for Single Cell Analysis
[Reimplementation Antol et al 2015] Keras-based LSTM/CNN models for Visual Question Answering
cell detection in calcium imaging recordings
Directions overlay for working with pandas in an analysis environment
Intensity-based_Lidar_Camera_Calibration
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
Built-in Panther detection rules and policies
Python library for using AWS Cognito. With support for SRP.
A tool for holistic analysis of language generations systems
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