Pinned Repositories
18337
18.337 - Parallel Computing and Scientific Machine Learning
18S191
Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:
30-Days-Of-Python
30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.
3D-Machine-Learning
A resource repository for 3D machine learning
3d_gan_tensorflow
Generating 3D Voxel Models with Generative Adversarial Networks - Implemented in Tensorflow
3d_milp
Public repository for 3D-MILP paper.
3DDescriptorNet
Learning Descriptor Networks for 3D Shape Synthesis and Analysis
3dmatch-toolbox
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
3DShapeNets
for cvpr2015 project 3DShapeNets
LIONSIMBA
rishirelan's Repositories
rishirelan/spektral
Graph Neural Networks with Keras and Tensorflow 2.
rishirelan/NNS
Nonlinear Nonparametric Statistics
rishirelan/optbayesexpt
Optimal Bayesian Experiment Design
rishirelan/VKOGA
Python implementation of the VKOGA algorithm.
rishirelan/VisualPythonIntro
An Introduction to Visual Python for Illustrating Predictive Modeling in General
rishirelan/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
rishirelan/BayesianModelUpdating
Tutorials and examples of advanced sampling methods for solving Bayesian Model Updating Problems
rishirelan/SelFlow
SelFlow: Self-Supervised Learning of Optical Flow
rishirelan/Kratos
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
rishirelan/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
rishirelan/seqbed
rishirelan/pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
rishirelan/d3s
Data-driven dynamical systems toolbox.
rishirelan/blackbox-computing-python
rishirelan/Pandas-Bokeh
Bokeh Plotting Backend for Pandas and GeoPandas
rishirelan/Variational_Integrator_Networks
rishirelan/PSSSD
A Robust Distance Measure for Similarity-based classification on the SPD Manifold
rishirelan/SINDy-BVP
Sparse Identification of Nonlinear Dynamics for Boundary Value Problems
rishirelan/NeuralCDE
Code for "Neural Controlled Differential Equations for Irregular Time Series"
rishirelan/deeplearning-models
A collection of various deep learning architectures, models, and tips
rishirelan/bayesopt
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
rishirelan/rayshader
R Package for 2D and 3D mapping and data visualization
rishirelan/Gaussian-Ridges
Codes for dimension reduction using Gaussian Ridge Functions
rishirelan/deepIDE
Deep IDE Models for Spatio-Temporal Forecasting
rishirelan/adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series
rishirelan/Data-science-best-resources
Carefully curated resource links for data science in one place
rishirelan/Deep-Learning-For-Hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
rishirelan/LIONSIMBA-1
A Matlab framework based on a finite volume model suitable for Li-ion battery design, simulation, and control
rishirelan/phygeonet
PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain
rishirelan/Tensor-Network-B-splines
Tensor Network B-splines and its application in nonlinear system identification