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Name: Nabayan Chaudhury
Type: User
Name: Nabayan Chaudhury
Type: User
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Code and Pre-Trained Models for "AttnPacker: An end-to-end deep learning method for protein side-chain packing"
A curated list of resources dedicated to reinforcement learning applied to cyber security.
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021) - Updated for 2022
A PyTorch hub of denoising diffusion probabilistic models designed to generate novel biological data
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design
Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
DLPacker
EDM: E(3) Equivariant Diffusion Model for Molecule Generation in 3D
Implementation of Trajectory Transformer with attention caching and batched beam search
Diffusion models of protein structure; trigonometry and attention are all you need!
GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)
Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
Implementation of the paper https://arxiv.org/abs/1603.00448.
HIL-based Augmented ICS (HAI) Security Dataset
Learning Action-Value Gradients in Model-based Policy Optimization
Implementation of TRPO and related algorithms
Multivariate Time Series Transformer, public version
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Single cell typing based on cell ontology
OPUS-Rota4: A Gradient-Based Protein Side-Chain Modeling Framework Assisted by Deep Learning-Based Predictors
PyTorch implementation of Trust Region Policy Optimization
Pytorch Geometric Tutorials
Reinforcement learning algorithms in RLlib
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.