MayukaJ / LLM-BoostLinks
☆13Updated 3 months ago
Alternatives and similar repositories for LLM-Boost
Users that are interested in LLM-Boost are comparing it to the libraries listed below
Sorting:
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- Counterfactual SHAP: a framework for counterfactual feature importance☆20Updated last year
- ☆11Updated 4 months ago
- Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]☆19Updated last month
- Aioli: A unified optimization framework for language model data mixing☆27Updated 5 months ago
- [EMNLP 2024] Tree of Problems: Improving structured problem solving with compositionality☆19Updated 3 months ago
- A framework for simulating e-commerce data and interactions that can be used to build recommendation systems☆10Updated last year
- ☆21Updated 3 weeks ago
- A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.☆18Updated 7 months ago
- ☆21Updated 4 months ago
- ☆31Updated this week
- Exploration using DSPy to optimize modules to maximize performance on the OpenToM dataset☆16Updated last year
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆19Updated last year
- Cross-field empirical trends analysis of XAI literature☆20Updated last year
- A public implementation of the ReLoRA pretraining method, built on Lightning-AI's Pytorch Lightning suite.☆33Updated last year
- ☆23Updated last month
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated last year
- Exploring the classical regression capabilities of LLMs.☆18Updated last year
- ☆31Updated last year
- PyTorch implementation for MRL☆18Updated last year
- ☆43Updated 7 months ago
- PoE-World: Compositional World Modeling with Products of Programmatic Experts☆28Updated last week
- Elevate your language models with insightful diversity metrics.☆11Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated 8 months ago
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆24Updated last month
- TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.☆19Updated 2 months ago
- This repository implements DSPy programs to tasks in Indian Languages☆13Updated last year
- A neural network hyper parameter tuner☆30Updated last year
- TabDPT: Scaling Tabular Foundation Models☆30Updated 2 months ago
- ☆11Updated last year