AI Logging for Interpretability and Explainability🔬
☆144Jun 7, 2024Updated last year
Alternatives and similar repositories for logix
Users that are interested in logix are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆192Jun 24, 2025Updated 10 months ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆81Oct 3, 2024Updated last year
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆122Mar 24, 2026Updated last month
- ☆66Jan 13, 2022Updated 4 years ago
- ☆17Mar 23, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆526Oct 20, 2024Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆79Nov 14, 2024Updated last year
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆87Feb 27, 2024Updated 2 years ago
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆39Jan 23, 2024Updated 2 years ago
- A simple PyTorch implementation of influence functions.☆95Jun 17, 2024Updated last year
- This is the official implementation of TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data☆13Jul 21, 2024Updated last year
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆48Oct 31, 2023Updated 2 years ago
- Official Code Repository for [AutoScale📈: Scale-Aware Data Mixing for Pre-Training LLMs] Published as a conference paper at **COLM 2025*…☆14Aug 8, 2025Updated 8 months ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆39Dec 27, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A fast, effective data attribution method for neural networks in PyTorch☆237Nov 18, 2024Updated last year
- A simple Jax implementation of influence functions.☆20Apr 9, 2024Updated 2 years ago
- Code for our EMNLP-2023 paper: "Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks"☆25Nov 16, 2023Updated 2 years ago
- Implementation of Influence Function approximations for differently sized ML models, using PyTorch☆16Sep 15, 2023Updated 2 years ago
- A Survey on Data Selection for Language Models☆256Apr 29, 2025Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆202Dec 8, 2025Updated 4 months ago
- opAgent: Onchain Perpetual Agent Framework☆14Mar 4, 2025Updated last year
- An MCP server for the Story SDK and Storyscan Block Explorer☆17Oct 17, 2025Updated 6 months ago
- DSIR large-scale data selection framework for language model training☆273Apr 7, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- We systematically studied the influencing factors when LLM generates benchmarks,By using our code, you can generate high-quality QA datas…☆20May 20, 2025Updated 11 months ago
- Aioli: A unified optimization framework for language model data mixing☆32Jan 17, 2025Updated last year
- ☆16Apr 14, 2021Updated 5 years ago
- Find the samples, in the test data, on which your (generative) model makes mistakes.☆32Oct 16, 2024Updated last year
- ☆32May 24, 2023Updated 2 years ago
- Papers about training data quality management for ML models.☆118Apr 1, 2026Updated last month
- ☆10May 28, 2023Updated 2 years ago
- RapidIn: Scalable Influence Estimation for Large Language Models (LLMs). The implementation for paper "Token-wise Influential Training Da…☆21Mar 10, 2026Updated last month
- ☆14Mar 31, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆44Oct 1, 2024Updated last year
- Mixture of Expert (MoE) techniques for enhancing LLM performance through expert-driven prompt mapping and adapter combinations.☆12Feb 11, 2024Updated 2 years ago
- Official implementation repository for the paper Towards General Conceptual Model Editing via Adversarial Representation Engineering.☆20Dec 6, 2024Updated last year
- ☆41Aug 20, 2025Updated 8 months ago
- Minimal (truly) muP implementation, consistent with TP4 and TP5 papers notation☆14Jan 2, 2026Updated 4 months ago
- Language models scale reliably with over-training and on downstream tasks☆101Apr 2, 2024Updated 2 years ago
- ☆13Dec 12, 2025Updated 4 months ago