i-mein's starred repositories
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ethereumbook
Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
UniRepLKNet
[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
RepLKNet-pytorch
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
UniverseNet
USB: Universal-Scale Object Detection Benchmark (BMVC 2022)
linear-tree
A python library to build Model Trees with Linear Models at the leaves.
mtad-gat-pytorch
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
zoofs
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
ICML2022-FEDformer
Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
llm-detect-ai
1st Place Solution for LLM - Detect AI Generated Text Kaggle Competition
pinn_wind_bearing
Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks
P_Net_Anomaly_Detection
This is the implementation of our paper in ECCV 2020.
kaggle-feedback-effectiveness-1st-place-solution
Winning solution for the Kaggle Feedback Prize Challenge.
building-energy-storage-simulation
An open source playground energy storage environment to explore reinforcement learning and model predictive control.
citylearn-2020-pikapika
CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team
Kaggle_G2Net
G2Net Competition
rfcx-kaggle
23rd place solution Kaggle Rainforest Connection Species Audio Detection (https://www.kaggle.com/c/rfcx-species-audio-detection/discussion/220972)
digital-twin-SHM
Source code for the paper "Torzoni Matteo, Tezzele Marco, Mariani Stefano, Manzoni Andrea, and Willcox Karen E. A digital twin framework for civil engineering structures. Computer Methods in Applied Mechanics and Engineering, 2024;418:116584. https://doi.org/10.1016/j.cma.2023.116584"