shubham0704
PhD Student at UT Austin | 3D Vision, Generative Models | Dynamical Systems | Reinforcement Learning
@UTAustin
Pinned Repositories
scikit-learn
scikit-learn: machine learning in Python
ATR-FNN
Automatic Target Recognition using Fuzzy Neural Networks
GDGVIT-OOP-session
OOP session by GDG VIT
MeshCNN_Tutorial
This tutorials goes deep into the details of the why and how of the seminal paper - MeshCNN. You will find all the details including the ones not explained in the research paper.
parallelGSO
A highly scalable parallel version of Galactic Swarm Optimisation Algorithm
partnet_anno_system
PartNet 3D Web-based Shape Parts Annotation System
scalable_kmeans
An attempt to implement scalable kmeans++ algorithm
syntree2vec
An algorithm to augment syntactic hierarchy into word embeddings
tutor.ai
Hosts the app code for ai_tutor
shubham0704's Repositories
shubham0704/MeshCNN_Tutorial
This tutorials goes deep into the details of the why and how of the seminal paper - MeshCNN. You will find all the details including the ones not explained in the research paper.
shubham0704/partnet_anno_system
PartNet 3D Web-based Shape Parts Annotation System
shubham0704/backpack
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
shubham0704/BayesNewton
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
shubham0704/BRepNet
BRepNet: A topological message passing system for solid models
shubham0704/checklist
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
shubham0704/comet
Official repository for reproducing the paper "Constants of motion network" (NeurIPS 2022)
shubham0704/corto
Mesh compression library, designed for rendering and speed.
shubham0704/deep_marching_cubes
Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018
shubham0704/depth_renderer
Rendering color and depth images for ShapeNet models.
shubham0704/examples
Apache Kafka and Confluent Platform examples and demos
shubham0704/fp-dataset-artifacts
Final project starter code for NLP classes at UT Austin: provides a HuggingFace trainer to enable studying of dataset artifacts.
shubham0704/gerbil
Gerbil Hyperspectral Visualization and Analysis Framework
shubham0704/google-maps-easy-scrape
shubham0704/json
JSON for Modern C++
shubham0704/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
shubham0704/Laplace
Laplace approximations for Deep Learning.
shubham0704/Learning-Continuous-Implicit-Representation-for-Near-Periodic-Patterns
Official code for paper 'Learning Continuous Implicit Representation for Near-Periodic Patterns' (ECCV 2022)
shubham0704/lpf
Ladybird Pattern Formation (LPF)
shubham0704/MeshCNN
Convolutional Neural Network for 3D meshes in PyTorch
shubham0704/nexus
Nexus is a c++/javascript library for creation and visualization of a batched multiresolution mesh
shubham0704/pcpnet
Pytorch implementation of PCPNet
shubham0704/PythonRobotics
Python sample codes for robotics algorithms.
shubham0704/rigid_body_dynamics_graph
shubham0704/rl-agents
Implementations of Reinforcement Learning and Planning algorithms
shubham0704/shubham0704.github.io
Personal website
shubham0704/slippage-analysis
Shape segmentation baseline using slippage analysis
shubham0704/STAR
ECCV2020 - Official code repository for the paper : STAR - A Sparse Trained Articulated Human Body Regressor
shubham0704/symmetries
How can we identify and build symmetries in Generative models?
shubham0704/torch-points3d
Pytorch framework for doing deep learning on point clouds.