zhiyuan-ning

zhiyuan-ning's Stars

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML114k1.5k015.6k

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook97k6978k15.8k

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX60.9k8944879.7k

• karpathy/nanoGPT

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

  Language:Python38.1k3803206.1k

• tatsu-lab/stanford_alpaca

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

  Language:Python29.7k3442694.1k

• google-research/tuning_playbook

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

  27.7k291432.3k

• stanfordnlp/dspy

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

  Language:Python20.5k1528901.6k

• openai/evals

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

  Language:Python15.3k2632152.6k

• varunshenoy/GraphGPT

  Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

  Language:JavaScript4.4k5629391

• yizhongw/self-instruct

  Aligning pretrained language models with instruction data generated by themselves.

  Language:Python4.2k5719491

• jbhuang0604/awesome-tips

  3.5k994196

• Timothyxxx/Chain-of-ThoughtsPapers

  A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

  2k503131

• pykeen/pykeen

  🤖 A Python library for learning and evaluating knowledge graph embeddings

  Language:Python1.7k27555191

• JonasGeiping/cramming

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

  Language:Python1.3k233499

• jmtomczak/intro_dgm

  "Deep Generative Modeling": Introductory Examples

  Language:Jupyter Notebook1.1k287178

• tomhartke/knowledge-graph-from-GPT

  Using GPT to organize and access information, and generate questions. Long term goal is to make an agent-like research assistant.

  Language:Jupyter Notebook66115056

• soloice/Matrix_Derivatives

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

  553141138

• HazyResearch/ama_prompting

  Ask Me Anything language model prompting

  Language:Python54323547

• reasoning-machines/pal

  PaL: Program-Aided Language Models (ICML 2023)

  Language:Python479101460

• valeman/awesome-conformal-prediction

  A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

  451101037

• 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:Python27241624

• Timothyxxx/RetrivalLMPapers

  Paper collections of retrieval-based (augmented) language model.

  2315011

• FreedomIntelligence/ReasoningNLP

  paper list on reasoning in NLP

  1837515

• Timothyxxx/EnvInteractiveLMPapers

  Paper collections of methods that using language to interact with environment, including interact with real world, simulated world or WWW(🏄).

  1241104

• Edward-Sun/RECITE

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

  Language:Python923311

• nerdslab/bgrl

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

  Language:Python824418

• bys0318/QTO

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

  Language:Python28225

• HKUST-KnowComp/LMPNN

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

  Language:Python15303

• yihong-chen/ReFactorGNN

  Implementation for ReFactor GNNs

  Language:Python15100

• 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:Python9200