Stars
This project contains the code for the OUP book Data Science & Complex Networks
Stanford Cardinal's algorithms (Overall Rank 2) in IMC Prosperity 2023
A playbook for systematically maximizing the performance of deep learning models.
prompt2model - Generate Deployable Models from Natural Language Instructions
Test and evaluate LLMs and model configurations, across all the scenarios that matter for your application
The fastai book, published as Jupyter Notebooks
LightEval is a lightweight LLM evaluation suite that Hugging Face has been using internally with the recently released LLM data processing library datatrove and LLM training library nanotron.
A simple Python sandbox for helpful LLM data agents
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Example deep learning projects that use wandb's features.
Hackers' Guide to Language Models
The repo that stores and shares the Google Colab files (.ipynb) for Dr. An’s YouTube channel, “Apply AI like a Pro”
Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
A curated list of Large Language Model (LLM) Interpretability resources.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Setup and run a local LLM and Chatbot using consumer grade hardware.
Small finetuned LLMs for a diverse set of useful tasks
Machine Learning in Finance: From Theory to Practice Book
🦜🔗 Build context-aware reasoning applications
Python toolkit for quantitative finance