nikmich1's Stars
mlc-ai/xgrammar
Efficient, Flexible and Portable Structured Generation
asg017/sqlite-vec
A vector search SQLite extension that runs anywhere!
WeikaiTan/Toronto-3D
A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
meidachen/STPLS3D
🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)
OpenTopography/OT_3DEP_Workflows
Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data
sentinel-hub/multi-temporal-super-resolution
Multi-temporal Super-Resolution on Sentinel-2 Imagery using Deimos
mmendiet/GFM
centreborelli/L1BSR
Self-Supervised SISR for Sentinel-2 L1B Imagery
Avaiga/taipy
Turns Data and AI algorithms into production-ready web applications in no time.
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
pamelafox/babybuddy-azure
facebookresearch/Pearl
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
jhultman/vision3d
Research platform for 3D object detection in PyTorch.
Arjun-NA/KPConv_for_DALES
IGNF/myria3d
Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
HuguesTHOMAS/KPConv
Kernel Point Convolutions
Yarroudh/segment-lidar
Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.
guochengqian/PointNeXt
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
sshaoshuai/Pointnet2.PyTorch
A faster implementation of PointNet++ based on PyTorch.
florianlederer/mvv-display-for-ESP32
Show the departures for your station. Only for MVV.
opengeos/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
keplergl/kepler.gl
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
uber/h3
Hexagonal hierarchical geospatial indexing system
awslabs/graphstorm
Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
automl/TabPFN
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python