bird03's Stars
POSTECH-CVLab/PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
xiaoh/turbulence-modeling-PIML
Data-driven Reynolds stress modeling with physics-informed machine learning
seamplex/feenox
Cloud-first free no-fee no-X uniX-like finite-element(ish) computational engineering tool
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
imronuke/KOMODO
Open Nuclear Reactor Simulator
imronuke/ADPRES
An Open Nuclear Reactor Simulator and Reactor Core Analysis Tool
jungwoo-ha/WeeklyArxivTalk
[Zoom & Facebook Live] Weekly AI Arxiv 시즌2
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
wgrathwohl/LSD
Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
transatomic/reactor
Transatomic reactor design documentation
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
google-research/google-research
Google Research
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
IBM/OoD
Repository for theory and methods for Out-of-Distribution (OoD) generalization
kmkolasinski/deep-learning-notes
Experiments with Deep Learning
ictnlp-wshugen/annotated-transformer_codes
A partial runnable code repo for annotated-transformer
bojone/attention
some attention implements
lilianweng/transformer-tensorflow
Implementation of Transformer Model in Tensorflow
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
alisure-ml/Awesome-Self-Training
Self-Training/Self-Learning
KDD-OpenSource/DeepADoTS
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
paulromano/awesome-nuclear
A curated list of open source projects used in nuclear science and engineering
jsyoon0823/TimeGAN
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
ydataai/ydata-synthetic
Synthetic data generators for tabular and time-series data
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
PredictiveIntelligenceLab/UQPINNs
vislearn/FrEIA
Framework for Easily Invertible Architectures