The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
facebookresearch/balance's past year of commit activity
SuperDex brings together a purpose-built physics engine, robotics authoring tools, and a scalable reinforcement learning interface in a unified simulation platform, with VR-based teleoperation and additional capabilities planned for future releases.
facebookresearch/project_superdex's past year of commit activity
VRS is a file format optimized to record & playback streams of sensor data, such as images, audio samples, and any other discrete sensors (IMU, temperature, etc), stored in per-device streams of timestamped records.
facebookresearch/vrs's past year of commit activity
Compiler-based safety checker for GPU kernels. It lowers the real compiler's IR into a small kernel IR and decides specs in Lean 4 (bounds, hangs, exactly-once writes, barrier protocol, races) with no hand-written model. Specs and frontends plug in independently; today Triton/TLX and CuTe DSL on NVIDIA Blackwell.
facebookresearch/lean_kernel_verify's past year of commit activity
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