- Stanford, CA
- https://scottfleming.github.io/
Stars
A curated list of open source repositories for AI Engineers
Goes beyond PEP8 to discuss what makes Python code feel great. A Strunk & White for Python.
An awesome & curated list of best LLMOps tools for developers
Aligning Large Language Models with Human: A Survey
A blazing fast inference solution for text embeddings models
ICD-10 CM medical classification list by the World Health Organization
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Awesome-LLM: a curated list of Large Language Model
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
A collection of papers on automated medical coding from free-texts
Statistical model comparison with bootstrap and beyond
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
Robust recipes to align language models with human and AI preferences
Adala: Autonomous DAta (Labeling) Agent framework
Practical machine learning notebook & articles covers the machine learning end to end life cycle.
A framework for few-shot evaluation of language models.
A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.