Beast code in Giters

CHENG-YOU LU's starred repositories

segment-anything

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.

Language:Jupyter NotebookApache-2.046627 306 659

pyenv

Simple Python version management

Language:RoffMIT38581 382 1766

Summer2025-Internships

Collection of Summer 2025 tech internships!

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dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

Language:Jupyter NotebookApache-2.08771 95 389

PathPlanning

Common used path planning algorithms with animations.

Language:PythonMIT7824 100 42

snorkel

A system for quickly generating training data with weak supervision

Language:PythonApache-2.05784 167 980

dust3r

DUSt3R: Geometric 3D Vision Made Easy

Language:PythonNOASSERTION4992 52 147

PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Language:PythonMIT3659 115 54

Semantic-Segment-Anything

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

Language:PythonApache-2.02104 19 58

Dynamic3DGaussians

Language:PythonNOASSERTION1905 91 38

IsaacLab

Unified framework for robot learning built on NVIDIA Isaac Sim

Language:PythonNOASSERTION1869 28 601

ngp_pl

Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

Language:Jupyter NotebookMIT1249 24 142

DirectVoxGO

Direct voxel grid optimization for fast radiance field reconstruction.

Language:PythonNOASSERTION1039 25 66

video_analyst

A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.

Language:PythonMIT827 29 132