Yuvarajendra Anjaneya Reddy's repositories
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Applied-Deep-Learning
Applied Deep Learning Course
battery_digital_twin
This repository contains the scripts and preprocessed data to recreate the figures and results presented in the paper: A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives
CNN-AE-DeepONet
Learning two-phase microstructure evolution using neural operators and autoencoder architectures
ControlNet
Let us control diffusion models!
Cylinder2DFlowControlDRL
code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning
deep-learning-materials
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
DeepTrack-2.0
DeepTrack-2.0
FlowNetPytorch
Pytorch implementation of FlowNet by Dosovitskiy et al.
fourier_neural_operator
Use Fourier transform to learn operators in differential equations.
ghost
A new one shot face swap approach for image and video domains
jepa
PyTorch code and models for V-JEPA self-supervised learning from video.
learnopencv
Learn OpenCV : C++ and Python Examples
Machine-Learning-Collection
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
ML-course-intro
Python tutorials for introduction to machine learning
ML-Models-from-Scratch
Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Numpy only
neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
PetGPT
Train your own PetGPT at home!
PI-rCNN
An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator
PINN-for-NS-equation
A pytorch implementaion of physics informed neural networks for two dimensional NS equation
PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
PV-RAFT
[CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
roomGPT
Upload a photo of your room to generate your dream room with AI.
sciann-applications
A place to share problems solved with SciANN
synpivimage
Tool to build synthetic Particle Image Velocimetry (PIV) images
ThermodynamicsGNN
Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).
TROF-TriFrame-Optical-Flow
Official implementation of ICCV2023 VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation