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Lists (32)
Adversarial Network
Adversarial Training
adversarial training methodAnomaly Detection
Anomaly Detection reference code and paperAudio Classification
Audio ClassificationBayesian Machine Learning
book list
c++ study : data structure
data structure and algorithm studyCalibration
Chemistry-GNN
Using GNN to analyze chemical propertiesComputer Vision
Computer Vision paper and reference codeCS interview
코딩 인터뷰 대비Distributed-GPU-Training
distributed gpu training reference codeetc
Explainable AI
GNN
GNN based reference code and paperImbalanced dataset
Technique for imbalanced datasetImitation learning
Machine Learning
meta-learning
ML pipeline
Machine Learning pipeline and MLopsMLops
About MLops(or Devops)Model compression
Distillation + PruningMulti-Modal Machine Learning
Neural ODE
Neural Operator
NLP
NLP reference code and paperNumerical method
Optimization
- Optimization for Machine LearningParallel-Computing
parallel computing reference codePhysics
Computational physics and Physics-informed machine learningReinforcement Learning
Reinforcement Learning Reference code and papertime series
Stars
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
A simple parallel RL framework implemented with PyTorch and OpenAI Gym for an Inverted Pendulum with image data
code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning
Fusion analysis, research, and optimization for energy systems
Neural Network Acceleration using CPU/GPU, ASIC, FPGA
🚀✨ Help beginners to contribute to open source projects
TORAX: Tokamak transport simulation in JAX
Collect optimizer related papers, data, repositories
A curated list of awesome Machine Learning projects in Fluid Dynamics
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Python class for a genetic algorithm to solve an optimization problem with n control variables
Policy-based optimization : single-step policy gradient seen as an evolution strategy
An easy to use evaluator for object detection performance metrics, such as mAP and AR
A curated list of practical financial machine learning tools and applications.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Gyselalib++ is a collection of C++ components for writing gyrokinetic semi-lagrangian codes and similar
IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
A package for computing data-driven approximations to the Koopman operator.
1D simulation of the Alfven wave found in magnetohydrodynamic modeling of plasmas