Projects in Awesome Lists tagged with ablation-study

A curated list of projects in awesome lists tagged with ablation-study .

- Recently synced
- Stars

https://github.com/georgian-io/llm-finetuning-toolkit

Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

ablation-study classification falcon fine-tuning finetuning flan-t5 large-language-models llama2 llm-test lora mistral-7b nlp nlp-machine-learning qlora redpajama summarization unit-testing zephyr

Last synced: 14 May 2025

https://github.com/georgian-io/LLM-Finetuning-Toolkit

Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

ablation-study classification falcon fine-tuning finetuning flan-t5 large-language-models llama2 llm-test lora mistral-7b nlp nlp-machine-learning qlora redpajama summarization unit-testing zephyr

Last synced: 12 Apr 2025

https://github.com/logicalclocks/maggy

Distribution transparent Machine Learning experiments on Apache Spark

ablation ablation-studies ablation-study automl blackbox-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning spark

Last synced: 13 Apr 2025

https://github.com/shiroonigami23-ui/omega

Beautiful modular D3QN research pipeline with training, ablations, plots, report, and packaging

ablation-study d3qn gymnasium pytorch reinforcement-learning research-pipeline

Last synced: 15 May 2026

https://github.com/amirlayegh/agentic-ablation

🧠 Automated neural network ablation studies using LLM agents and LangGraph. Systematically remove components, test performance, and gain insights into architecture importance through an intelligent multi-agent workflow.

ablation-study agentic-ai automated-machine-learning langgraph neural-network-training

Last synced: 25 Jun 2025

https://github.com/jihyeonseong/capsule-on-timeseries

Ablation Study of CapsuleNetwork on TimeSeries

ablation-study capsule capsule-network drcapsnet hinton neurips sabour time-series

Last synced: 17 Mar 2025

https://github.com/coderjolly/chest-x-ray-classification

This study tries to compare the detection of lung diseases using xray scans from three different datasets using three different neural network architectures using Pytorch and perform an ablation study by changing learning rates. The dimensional understanding is visualised using t-SNE and Grad-CAM for visualisation of diseases in x-ray scans.

ablation-study chest-xrays grad-cam-visualization python pytorch t-sne transfer-learning x-ray-classification