Cheungki

Cheungki's Stars

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  67.1k1.9k1439.1k

• ruanyf/weekly

  科技爱好者周刊，每周五发布

  47.4k2.2k5.2k2.9k

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python33.2k2025.1k4.1k

• zhayujie/chatgpt-on-wechat

  基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

  Language:Python30.8k2301.8k8.1k

• geekan/HowToLiveLonger

  程序员延寿指南 | A programmer's guide to live longer

  29.9k2321292.1k

• google-research/tuning_playbook

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

  27k286412.2k

• AlDanial/cloc

  cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.

  Language:Perl19.5k2146761k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.3k1101.1k1.6k

• srush/GPU-Puzzles

  Solve puzzles. Learn CUDA.

  Language:Jupyter Notebook9.8k19632853

• thunlp/PromptPapers

  Must-read papers on prompt-based tuning for pre-trained language models.

  4.1k1185379

• dk-liang/Awesome-Visual-Transformer

  Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

  3.4k10241396

• QData/TextAttack

  TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

  Language:Python2.9k38277395

• TheNetAdmin/zjuthesis

  Zhejiang University Graduation Thesis LaTeX Template

  Language:TeX2.6k15309618

• MLNLP-World/Top-AI-Conferences-Paper-with-Code

  MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

  2.6k751600

• yassouali/awesome-semi-supervised-learning

  😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

  1.8k6216225

• AetherCortex/Llama-X

  Open Academic Research on Improving LLaMA to SOTA LLM

  Language:Python1.6k4221102

• facebookresearch/DomainBed

  DomainBed is a suite to test domain generalization algorithms

  Language:Python1.4k29105298

• allenai/open-instruct

  Language:Python1.2k16114171

• yaodongC/awesome-instruction-dataset

  A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)

  1.1k16859

• huybery/Awesome-Code-LLM

  👨‍💻 An awesome and curated list of best code-LLM for research.

  91932952

• amber0309/Domain-generalization

  All about domain generalization

  833419124

• rgeirhos/texture-vs-shape

  Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

  Language:R7861930101

• SinclairCoder/Instruction-Tuning-Papers

  Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).

  75316324

• JosephKJ/Awesome-Novel-Class-Discovery

  A list of papers that studies Novel Class Discovery

  43319656

• nickrosh/evol-teacher

  Open Source WizardCoder Dataset

  Language:Python1522512

• decile-team/distil

  DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.

  Language:Jupyter Notebook142133725

• yaoxufeng/PCL-Proxy-based-Contrastive-Learning-for-Domain-Generalization

  Language:Python572126

• ChicagoHAI/active-example-selection

  Active Example Selection for In-Context Learning (EMNLP'22)

  Language:Python45252

• nblt/TWA

  [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions

  Language:Python27202

• swtheing/WizardCoder_Instruct_Generator

  Generate the WizardCoder Instruct from the CodeAlpaca

  Language:Python20132