Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by ArlindKadra
A curated list of projects in awesome lists by ArlindKadra .
https://github.com/arlindkadra/deeplearning
Investigate myth : Deep learning scales well only with a large number of data points.
Last synced: 02 Dec 2024
https://github.com/arlindkadra/tabular_baselines
The XGBoost algorithm combined with Hyperband plus Bayesian optimization (BOHB) for hyperparameter optimization.
Last synced: 02 Dec 2024
https://github.com/arlindkadra/programming-assignment
Assignment that I was given on a job interview
Last synced: 02 Dec 2024
https://github.com/arlindkadra/codepathproject
Required project for participating in bootcamp
Last synced: 02 Dec 2024
https://github.com/arlindkadra/resultextractor
A tool that can be used to investigate the data in the OpenML platform.
benchmark benchmarking machine-learning openml python result-analysis
Last synced: 02 Dec 2024
https://github.com/arlindkadra/dpl
[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.
hpo hyperparameter-optimization learning-curve-prediction multi-fidelity scaling-laws
Last synced: 02 Dec 2024
https://github.com/arlindkadra/multiplication
A Feedforward neural network to implement multiplication for 2 numbers, limited range on numbers.
Last synced: 02 Dec 2024
https://github.com/arlindkadra/nanogpt
A simple implementation of a NanoGPT-2 model.
Last synced: 02 Dec 2024
https://github.com/arlindkadra/imn
[NeurIPS 2024] Mesomorphic Interpretable Networks for Tabular Data
deep-learning interpretability neurips-2024 xai
Last synced: 02 Dec 2024
https://github.com/arlindkadra/dyhpo
[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
deep-kernel-gps deep-learning hyperparameter-optimization multi-fidelity
Last synced: 02 Dec 2024