Pinned Repositories
LearnableTransformsNO
This repository contains the code implementation of the paper "How important are specialized transforms in Neural Operators?" accepted at Syns and ML workshop at ICML 2023
BMS_Molecular_Translation
Image-to-text translation of chemical molecule structures with deep learning (top-5% Kaggle solution)
Computational-Fluid-Dynamics
Double Diffusive Convection Flow Implementation
Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Deep-Reinforcement-Learning-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
DeepCFD
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Keras-GAN
Keras implementations of Generative Adversarial Networks.
Leetcode-Company-Wise-Problems
Leetcode company wise questions (Updated 2020).
Ritam-M's Repositories
Ritam-M/Ritam-M
Ritam-M/awesome-model-based-RL
A curated list of awesome model based RL resources (continually updated)
Ritam-M/PIHLoRA
Ritam-M/CounterfactualAnnot-SemiOPE
[NeurIPS 2023] Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation. https://arxiv.org/abs/2310.17146
Ritam-M/LearnableTransformsNO
This repository contains the code implementation of the paper "How important are specialized transforms in Neural Operators?" accepted at Syns and ML workshop at ICML 2023
Ritam-M/RLCodeAssignment
Ritam-M/torch-local-neural-operators
Ritam-M/PINO
Ritam-M/fourier_neural_operator
Use Fourier transform to learn operators in differential equations.
Ritam-M/lora
Using Low-rank adaptation to quickly fine-tune diffusion models.
Ritam-M/Geo-FNO
Geometry-Aware Fourier Neural Operator (Geo-FNO)
Ritam-M/DSNO-pytorch
Ritam-M/safari
Convolutions for Sequence Modeling
Ritam-M/probconserv
Datasets and code for results presented in the ProbConserv paper
Ritam-M/boon
Datasets and code for results presented in the BOON paper
Ritam-M/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models
Ritam-M/Text2All
A curated list of text-guided generative models resources
Ritam-M/PINO_Applications
Applications of PINOs
Ritam-M/evotorch
EvoTorch is an advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
Ritam-M/Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
Ritam-M/multidim-positional-encoding
An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow
Ritam-M/newrepo
Ritam-M/graph-neural-pde
Graph Neural PDEs
Ritam-M/MS-TCT
[CVPR2022] MS-TCT
Ritam-M/Modern-Computer-Vision-with-PyTorch
Modern Computer Vision with PyTorch, published by Packt
Ritam-M/awesome-monte-carlo-tree-search-papers
A curated list of Monte Carlo tree search papers with implementations.
Ritam-M/top-10-cv-papers-2021
A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.
Ritam-M/DSRPytorch
Pytorch implementation of Deep Symbolic Regression
Ritam-M/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Ritam-M/PINNs-Implementations