jashshah999/gtsam-jev
Jev answers as floored GTSAM discrete factors: text evidence on hybrid modes, Bayes nets from descriptions
Jev answers as floored GTSAM discrete factors: text evidence on hybrid modes, Bayes nets from descriptions
Dataset quality diagnostics for LeRobot v3 datasets
One-command 3D reconstruction from video. No COLMAP needed.
3D transformations for Python.
Factor graph refinement of VGGT feed-forward 3D reconstruction
Gaussian Splatting meets Factor Graph SLAM — iSAM2 pose optimization with differentiable rendering factors
OpenVLA-7B on modern transformers (fixes a silent vision bypass) and on an 8 GB GPU
Before you build it, see who already did. Searches GitHub, Show HN and npm for what already exists and how their launches actually went.
Real-time VLA inference for robots. 13x faster. One command.
Lint, test, and optimize your MCP tool schemas before shipping. Catches the bugs that make LLMs pick the wrong tool.
GTSAM website
A/B testing for robot learning policies. Compare multiple policies with statistical rigor.
Auto-generate CLAUDE.md / AI context docs for any GitHub repo. One command.
Wrapper generator for C++ projects with multiple language support
Embeddable SVG card showing your merged PRs across repos you don't own. The open-source contributions GitHub hides.
PyTorch autograd bridge for GTSAM factor graphs. Define factors with torch tensors, get manifold-correct Jacobians automatically.
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
fork of VGGT
VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold
🐍 Geometric Computer Vision Library for Spatial AI
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Testing framework for AI agents. Record traces, assert behavior, catch regressions.
A database of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonomous AI agents
Machine learning metrics for distributed, scalable PyTorch applications.
CUDA accelerated rasterization of gaussian splatting
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more