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Istituto Dalle Molle di Studi sull'Intelligenza Artificiale
- Lugano, Switzerland
- https://www.linkedin.com/in/jamalsaeedi/
Lists (32)
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Instance segmentation
Time series forecasting
NLP LLM
Pipeline
Anomaly detection
Dataset handling
Model deployment
kaggle
SNN Event based Camera
Image processing
Computer vision
3D computer vision
Public dataset
Knowledge distillation
Pytorch
Pytorch ecosystem
Semantic segmentation
Api
Object detection and tracking
Defect detection Yolo
naive detection with high FPLumbar Spine
Visualization
Image-to-Image Translation
Image annotation
Visual attention
Model interpretability
Metrics
AE VAE
Siamese network
Nvidia
Openvino
Diffusion
Stars
Refine high-quality datasets and visual AI models
Time series forecasting with PyTorch
The repository hosting example notebooks for 2024 CZII cryoET machine learning challenge
uploadcare / pillow-simd
Forked from python-pillow/PillowThe friendly PIL fork
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
Machine learning models to predict realtime financial market data provided by Jane Street
This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colo…
Python implementation of Bayesian optimization over permutation spaces.
Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
Officiel implementation of the paper "FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery"
Feature engineering package with sklearn like functionality
Materials for the "Advanced Scikit-learn" class in the afternoon
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
An extremely fast Python package and project manager, written in Rust.
Yunbase,first submission of your algorithm competition
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Python package for automated data preprocessing & cleaning.
openclean - Data Cleaning and data profiling library for Python
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Open source platform for the machine learning lifecycle
Examples for https://github.com/optuna/optuna
Multivariate imputation and matrix completion algorithms implemented in Python