Ryan0v0

Ryan0v0's Stars

• THUDM/ChatGLM-6B

  ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

  Language:Python40.9k3941.3k5.2k

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.8k4254.2k6.4k

• THUDM/ChatGLM3

  ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

  Language:Python13.6k997891.6k

• spotify/annoy

  Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

  Language:C++13.4k3184011.2k

• microsoft/SEAL

  Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.

  Language:C++3.7k94575713

• wangshusen/RecommenderSystem

  2.7k297393

• songyingxin/NLPer-Interview

  该仓库主要记录 NLP 算法工程师相关的面试题

  2.6k556507

• km1994/NLP-Interview-Notes

  该仓库主要记录 NLP 算法工程师相关的面试题

  2.5k2314513

• 315386775/DeepLearing-Interview-Awesome-2024

  AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

  1.9k291182

• tatsu-lab/alpaca_eval

  An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

  Language:Jupyter Notebook1.6k8154249

• wangshusen/SearchEngine

  搜索引擎原理

  1.5k217130

• volcengine/veScale

  A PyTorch Native LLM Training Framework

  Language:Python688331836

• EmbraceAGI/AIGC_Interview

  📚 AIGC 求职面经、必备基础知识、提示词工程、ChatGPT、Stable Diffusion、Prompt、Embedding、Fintune 等 AIGC 求职你所需要知道的一切~

  4933042

• apple/pfl-research

  Simulation framework for accelerating research in Private Federated Learning

  Language:Jupyter Notebook308221432

• Ablustrund/LoRAMoE

  LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment

  Language:Python26321819

• for-ai/parameter-efficient-moe

  Language:Python25117316

• EricLBuehler/xlora

  X-LoRA: Mixture of LoRA Experts

  Language:Python19451710

• liuqidong07/MOELoRA-peft

  [SIGIR'24] The official implementation code of MOELoRA.

  Language:Python14032218

• kevinyaobytedance/llm_unlearn

  LLM Unlearning

  Language:Python1391719

• GCYZSL/MoLA

  Language:Python1202227

• Praveen76/LLMs-Interview-Prep-Guide

  Welcome to the LLMs Interview Prep Guide! This GitHub repository offers a curated set of interview questions and answers tailored for Data Scientists. Enhance your understanding of Large Language Models, prepare for technical interviews, and excel in the evolving landscape of data science with a focus on LLM applications.

  1112017

• sleeepeer/PoisonedRAG

  [USENIX Security 2025] PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

  Language:Python1052719

• Zeeshan75/Collection-of-interview-questions-ML-pdfs

  Gathered multiple pdfs regarding interview questions on machine learning and deep learning

  42309

• cambridgeltl/PairS

  Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; arXiv preprint arXiv:2403.16950)

  Language:Python40621

• princeton-nlp/corpus-poisoning

  [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156

  Language:Python27621

• alexrs/herd

  Mixture of Expert (MoE) techniques for enhancing LLM performance through expert-driven prompt mapping and adapter combinations.

  Language:Python12201

• Devinterview-io/reinforcement-learning-interview-questions

  🟣 Reinforcement Learning interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

  12102

• BRAIN-chain/LoRA

  Implementation of LoRA (Low-Rank Adaptation of Large Language Models) for GPT-J and GPT-2

  Language:Python6112

• dr-bell/kaizen

  (WACV'24) Kaizen: Practical self-supervised continual learning with continual fine-tuning

  Language:Python51

• parovicm/unified-xlt

  Language:Python3100