Pinned Repositories
annotated_deep_learning_paper_implementations
๐งโ๐ซ 59 Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
athena
A GUI for automated sequence design of wireframe scaffolded DNA origami
awesome-equivariant-network
Paper list for equivariant neural network
awesome-graph-transformer
Papers about graph transformers.
awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
awesome-point-cloud-analysis-2023
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
machine-learning-and-simulation
All the handwritten notes ๐ and source code files ๐ฅ๏ธ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
ScoreDiffusionModel
The Pytorch Tutorial of Score-based and Diffusion Model
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021/Spring 2022
TruongChien's Repositories
TruongChien/machine-learning-and-simulation
All the handwritten notes ๐ and source code files ๐ฅ๏ธ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
TruongChien/ScoreDiffusionModel
The Pytorch Tutorial of Score-based and Diffusion Model
TruongChien/awesome-equivariant-network
Paper list for equivariant neural network
TruongChien/awesome-graph-transformer
Papers about graph transformers.
TruongChien/awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
TruongChien/awesome-point-cloud-analysis-2023
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
TruongChien/chroma-pytorch
Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch
TruongChien/DeepEnergy-TopOpt
Density-based topology optimization via the deep energy method
TruongChien/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
TruongChien/DiffDock
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
TruongChien/Ferrite.jl
Finite element toolbox for Julia
TruongChien/Gridap.jl
Grid-based approximation of partial differential equations in Julia
TruongChien/holoprot
Multi-Scale Representation Learning on Proteins (NeurIPS 2021)
TruongChien/lab-session-generative-modeling
Lab session of the course generative modeling
TruongChien/neuraloperator
Learning in infinite dimension with neural operators.
TruongChien/pcdiff-implant
PyTorch implementation for "Point Cloud Diffusion Models for Automatic Implant Generation" (MICCAI 2023)
TruongChien/PINN
TruongChien/PINNacle
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
TruongChien/point-e
Point cloud diffusion for 3D model synthesis
TruongChien/riemannian-score-sde
Score-based generative models for compact manifolds
TruongChien/score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
TruongChien/stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
TruongChien/taichi
Productive & portable high-performance programming in Python.
TruongChien/torchquantum
A PyTorch-based framework for Quantum Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
TruongChien/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
TruongChien/bio-diffusion
A PyTorch hub of denoising diffusion probabilistic models designed to generate novel biological data
TruongChien/CVPR2022-Papers-with-Code
CVPR 2022 ่ฎบๆๅๅผๆบ้กน็ฎๅ้
TruongChien/jax-fem
Differentiable Finite Element Method with JAX
TruongChien/optimesh
:spider_web: Mesh optimization, mesh smoothing.
TruongChien/SPIDER_active_nematics
This code can reproduce the results of "Physically-informed data-driven modeling of active nematics"