caoknew

caoknew's Stars

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX58.8k8664609.3k

• meta-llama/llama

  Inference code for Llama models

  Language:Python55.8k5219629.5k

• marktext/marktext

  📝A simple and elegant markdown editor, available for Linux, macOS and Windows.

  Language:JavaScript46.7k4182.8k3.5k

• AMAI-GmbH/AI-Expert-Roadmap

  Roadmap to becoming an Artificial Intelligence Expert in 2022

  Language:JavaScript29.1k962642.5k

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook27.8k65751112.7k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.3k2201564.1k

• sunner/ChatALL

  Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers

  Language:JavaScript15.1k1265391.6k

• LlamaFamily/Llama-Chinese

  Llama中文社区，Llama3在线体验和微调模型已开放，实时汇总最新Llama3学习资料，已将所有代码更新适配Llama3，构建最好的中文Llama大模型，完全开源可商用

  Language:Python13.7k1453341.2k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.8k26847934

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML10.7k2455111k

• ymcui/Chinese-BERT-wwm

  Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

  Language:Python9.6k1432401.4k

• billryan/resume

  An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

  Language:TeX9.2k84642.6k

• tkipf/pygcn

  Graph Convolutional Networks in PyTorch

  Language:Python5.2k55701.2k

• deep-learning-with-pytorch/dlwpt-code

  Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

  Language:Jupyter Notebook4.7k1121092k

• OFA-Sys/Chinese-CLIP

  Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

  Language:Python4.4k35327452

• BilibiliVideoDownload/BilibiliVideoDownload

  Cross-platform download bilibili video desktop software, support windows, macOS, Linux

  Language:TypeScript3.1k44132394

• zixian2021/AI-interview-cards

  最完整的AI算法面试题目仓库，1000道，25个类目

  1.1k9388

• beyondguo/LLM-Tuning

  Tuning LLMs with no tears💦; Sample Design Engineering (SDE) for more efficient downstream-tuning.

  Language:HTML960165699

• huangjunheng/recommendation_model

  练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

  Language:Python52647117

• LeBron-Jian/MachineLearningNote

  Language:Jupyter Notebook491111211

• zejunwang1/CSTS

  中文自然语言推理与语义相似度数据集

  3363275

• nimarb/pytorch_influence_functions

  This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

  Language:Python31573271

• inuyasha2012/pypsy

  psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .

  Language:Python21519871

• nitarshan/bayes-by-backprop

  PyTorch implementation of "Weight Uncertainty in Neural Networks"

  Language:Jupyter Notebook1713647

• bigdata-ustc/EduCDM

  The Model Zoo of Cognitive Diagnosis Models, including classic Item Response Ranking (IRT), Multidimensional Item Response Ranking (MIRT), Deterministic Input, Noisy "And" model(DINA), and advanced Fuzzy Cognitive Diagnosis Framework (FuzzyCDF), Neural Cognitive Diagnosis Model (NCDM) and Item Response Ranking framework (IRR).

  Language:Python11791350

• jcpeterson/cifar-10h

  Original dataset release for CIFAR-10H

  80634

• fmpr/CrowdLayer

  A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

  Language:Jupyter Notebook672220

• tbs17/MathBERT

  Language:Python641512

• chen-judge/GeoQA

  Official Implementation of ACL 2021 paper “GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning”.

  Language:Python413310

• daqcri/DAFNA-EA

  Truth Discovery Models

  Language:Java103