- Montreal, Canada
- http://krrish94.github.io
- @_krishna_murthy
Highlights
- Pro
Stars
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Python sample codes for robotics algorithms.
Graph Neural Network Library for PyTorch
PyTorch implementations of Generative Adversarial Networks.
Convert Machine Learning Code Between Frameworks
A collaboration friendly studio for NeRFs
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Refine high-quality datasets and visual AI models
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
A PyTorch Library for Accelerating 3D Deep Learning Research
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
A Python framework for high performance GPU simulation and graphics
Python package for the evaluation of odometry and SLAM
torch-optimizer -- collection of optimizers for Pytorch
A procedural Blender pipeline for photorealistic training image generation
Pytorch framework for doing deep learning on point clouds.
Differentiable convex optimization layers
Project Page for "LISA: Reasoning Segmentation via Large Language Model"
Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
gradslam is an open source differentiable dense SLAM library for PyTorch
[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM