Ashish Sinha
sinAshish
Doing Computer Vision and Machine Learning
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Repos
92
Stars
510
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104
Top Language
Python
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Top Repositories
[JBHI] Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
This is a PyTorch implementation of the the Paper by Simo-Sera et.al. on Cleaning Rough Sketches using Fully Convolutional Neural Networks.
[MICCAI 2024] TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields
Code for our paper on MTDA for point clouds accepted at CVPR (W) 2023.
Portfolio
RNAPro is a state-of-the-art RNA 3D folding model developed in collaboration with the hosts and winners of the Stanford RNA 3D Folding Kaggle competition.
Repositories
92This is a PyTorch implementation of the the Paper by Simo-Sera et.al. on Cleaning Rough Sketches using Fully Convolutional Neural Networks.
Portfolio
[JBHI] Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
RNAPro is a state-of-the-art RNA 3D folding model developed in collaboration with the hosts and winners of the Stanford RNA 3D Folding Kaggle competition.
Official code for "DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images". A data generation pipeline for creating photorealistic in-the-wild synthetic dermatalogical data with rich multi-task annotations for various skin-analysis tasks..
Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"
No description provided.
No description provided.
Lbster: Language models for Biological Sequence Transformation and Evolutionary Representation
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA/Tensor Cores Kernels, HGEMM, FA-2 MMA etc.🔥
Implementation of the paper Gaussian Fluids: A Grid-Free Fluid Solver based on Gaussian Spatial Representation
[MICCAI 2024] TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields
No description provided.
Lightweight Python framework that provides a high-level API for creating and rendering scenes with Blender.
Various AI scripts. Mostly Stable Diffusion stuff.
No description provided.
8-bit CUDA functions for PyTorch
A beautiful resume/cover letter LaTeX template pair that are extraordinarily easy to use.
This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models".
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
No description provided.
Learn CUDA Programming, published by Packt
Build AI Assistants with memory, knowledge and tools.
Skeletonization of 3D Point Clouds
Text-to-3D Generation within 5 Minutes
Release for the Siggraph Asia 2023 SKEL paper "From Skin to Skeleton: Towards Biomechanically Accurate 3D Digital Humans".
PointMamba: A Simple State Space Model for Point Cloud Analysis
Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"
Code for our paper on MTDA for point clouds accepted at CVPR (W) 2023.
A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.