Pinned Repositories
Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
DeepLearning
Investigate myth : Deep learning scales well only with a large number of data points.
DPL
[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.
DyHPO
[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
IMN
[NeurIPS 2024] Mesomorphic Interpretable Networks for Tabular Data
liac-arff
A library for read and write ARFF files in Python
NanoGPT
A simple implementation of a NanoGPT-2 model.
tabular_baselines
The XGBoost algorithm combined with Hyperband plus Bayesian optimization (BOHB) for hyperparameter optimization.
VAE
A toy example of VAEs.
WellTunedSimpleNets
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
ArlindKadra's Repositories
ArlindKadra/WellTunedSimpleNets
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
ArlindKadra/DeepLearning
Investigate myth : Deep learning scales well only with a large number of data points.
ArlindKadra/tabular_baselines
The XGBoost algorithm combined with Hyperband plus Bayesian optimization (BOHB) for hyperparameter optimization.
ArlindKadra/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
ArlindKadra/liac-arff
A library for read and write ARFF files in Python
ArlindKadra/py-webrtcvad
Python interface to the WebRTC Voice Activity Detector
ArlindKadra/ClinicalTrialsChatBot
Bot for human like interaction with https://clinicaltrials.gov/
ArlindKadra/CodepathProject
Required project for participating in bootcamp
ArlindKadra/DPL
[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.
ArlindKadra/DyHPO
[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
ArlindKadra/IMN
[NeurIPS 2024] Mesomorphic Interpretable Networks for Tabular Data
ArlindKadra/java
Java library to interface with OpenML
ArlindKadra/java-utils
ArlindKadra/NanoGPT
A simple implementation of a NanoGPT-2 model.
ArlindKadra/VAE
A toy example of VAEs.
ArlindKadra/Master_Project
ArlindKadra/Multiplication
A Feedforward neural network to implement multiplication for 2 numbers, limited range on numbers.
ArlindKadra/OpenML
Open Machine Learning
ArlindKadra/openml-python
Python module to interface with OpenML
ArlindKadra/openml-rapidminer
RapidMiner plugin
ArlindKadra/openml-weka
The OpenmlWeka package
ArlindKadra/Programming-Assignment
Assignment that I was given on a job interview
ArlindKadra/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
ArlindKadra/ResultExtractor
A tool that can be used to investigate the data in the OpenML platform.