zhiyuan-ning

zhiyuan-ning's Stars

• sangmichaelxie/cs324_p2

  Project 2 (Building Large Language Models) for Stanford CS324: Understanding and Developing Large Language Models (Winter 2022)

  Language:Python10211

• neuralgraphdatabases/awesome-logical-query

  A collection of resources on the topic of Complex Logical Query Answering

  17015

• facebookresearch/FiD

  Fusion-in-Decoder

  Language:Python557108

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX51.5k5k

• run-llama/llama_index

  LlamaIndex is a data framework for your LLM applications

  Language:Python37.6k5.4k

• promptslab/Promptify

  Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

  Language:Jupyter Notebook3.3k246

• srush/MiniChain

  A tiny library for coding with large language models.

  Language:Python1.2k74

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook97k15.8k

• JonasGeiping/cramming

  Cramming the training of a (BERT-type) language model into limited compute.

  Language:Python1.3k99

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.7k4.1k

• openai/evals

  Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

  Language:Python15.3k2.6k

• reasoning-machines/pal

  PaL: Program-Aided Language Models (ICML 2023)

  Language:Python47960

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX60.9k9.7k

• yizhongw/self-instruct

  Aligning pretrained language models with instruction data generated by themselves.

  Language:Python4.2k491

• Edward-Sun/RECITE

  Code of ICLR paper: https://openreview.net/forum?id=-cqvvvb-NkI

  Language:Python9211

• yihong-chen/ReFactorGNN

  Implementation for ReFactor GNNs

  Language:Python15

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python38.1k6.1k

• neulab/knn-transformers

  PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT

  Language:Python27224

• HazyResearch/ama_prompting

  Ask Me Anything language model prompting

  Language:Python54347

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—language models

  Language:Python20.5k1.6k

• HKUST-KnowComp/LMPNN

  Logical Message Passing Networks with One-hop Inference in Atomic Formulas (ICLR 2023)

  Language:Python153

• bys0318/QTO

  ICML 23': Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization

  Language:Python285

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.7k2.3k

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML114k15.6k

• soloice/Matrix_Derivatives

  This is a note on matrix derivatives and described my own experience in detail. Hope you'll like it.

  553138

• wdimmy/Var2Vec

  The code is for our AAAI2023 paper: Efficient Embeddings of Logical Variables for Query Answering over Incomplete Knowledge Graphs (Dingmin Wang, Yeyuan Chen, Bernardo Cuenca Grau)

  Language:Python9

• pykeen/pykeen

  🤖 A Python library for learning and evaluating knowledge graph embeddings

  Language:Python1.7k191

• jbhuang0604/awesome-tips

  3.5k196

• nerdslab/bgrl

  PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)

  Language:Python8218

• snap-stanford/KGReasoning

  Multi-Hop Logical Reasoning in Knowledge Graphs

  Language:Python28957