Lists (5)
Starred repositories
A self-improving RLM agent for coding workflows and long-running autonomous tasks.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Library for building distributed, real-time collaborative web applications
🪼 a python library for doing approximate and phonetic matching of strings.
A topic-centric list of HQ open datasets.
CS110 at Stanford: Principles of Computer Systems - Stars are appreciated :)
Survey on Machine Reading Comprehension
☕ A tool to generate requirements.txt for Python project, and more than that. (IT IS NOT A PACKAGE MANAGEMENT TOOL)
State-of-the-Art Embeddings, Retrieval, and Reranking
Best practices for distilling large language models.
Pure-Python Server Side Events (SSE) client
Tongyi Deep Research, the Leading Open-source Deep Research Agent
[NeurIPS 2025] Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning
The Entropy Mechanism of Reinforcement Learning for Large Language Model Reasoning.
Official repository for DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
Official Code for the paper "HYPER: MULTITASK HYPER-PROMPTED TRAINING ENABLES LARGE-SCALE RETRIEVAL GENERALIZATION"
Offical Code for "PEVAE: A Hierarchical VAE for Personalized Explainable Recommendation."
Context Engineering Course with DSPy
Forward-Looking Active REtrieval-augmented generation (FLARE)
General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes.
Production-quality Retrieval-Augmented Generation with multi-strategy retrieval and comprehensive evaluation framework.
Fiction generator using LLM agents to create complete novels with coherent plots, developed characters, and diverse writing styles.
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
A production framework for DSPy implementing the Teacher-Student pattern. Distill the reasoning of expensive models (Teacher) into optimized prompts for cheap, fast models (Student) to reduce infer…
Production-grade DSPy 3.2.x agent skills + validated end-to-end examples for Claude Code and Codex CLI — fundamentals, evaluation, GEPA, BetterTogether, and RLM.
A DSPy integration for the Agent Skills specification, enabling ReAct agents to dynamically discover and use modular, sandboxed skills
Collection of Claude Skills for DSPy framework - program language models, optimize prompts, and build RAG pipelines systematically