ymwangv

ymwangv's Stars

• google/BIG-bench

  Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

  Language:Python2.8k586

• milesaturpin/cot-unfaithfulness

  Language:Python309

• suzgunmirac/BIG-Bench-Hard

  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

  41625

• madaan/self-refine

  LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.

  Language:Python57245

• OanaMariaCamburu/e-SNLI

  Language:Python15828

• RUCAIBox/LLMSurvey

  The official GitHub page for the survey paper "A Survey of Large Language Models".

  Language:Python10.1k796

• cs230-stanford/cs230-code-examples

  Code examples in pyTorch and Tensorflow for CS230

  Language:Python3.8k986

• 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 Notebook27.8k12.7k

• huaxz1986/cplusplus-_Implementation_Of_Introduction_to_Algorithms

  《算法导论》第三版中算法的C++实现

  Language:C++3.9k1k

• walkccc/CLRS

  📚 Solutions to Introduction to Algorithms Third Edition

  Language:Markdown4.7k1.3k

• gzc/CLRS

  :notebook:Solutions to Introduction to Algorithms

  Language:C++9.4k2.8k

• xtekky/gpt4free

  The official gpt4free repository | various collection of powerful language models

  Language:Python60.1k13.2k

• TheAlgorithms/C-Plus-Plus

  Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

  Language:C++30.2k7.1k

• datalogisk-fagraad/DIKUNotes

  A collection of information, notes and resources about courses given at the institute of computer science (DIKU) at University of Copenhagen.

  Language:Erlang12515

• google-research-datasets/tydiqa

  TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and without the use of translation, and is designed for the training and evaluation of automatic question answering systems. This repository provides evaluation code and a baseline system for the dataset.

  Language:Python29042

• coastalcph/nlp-course

  Interactive Lecture Notes, Slides and Exercises for the NLP course at DIKU, UCPH

  Language:Jupyter Notebook4611

• TommyGong08/MSIF

  Code for the paper "Leveraging Multi-Stream Information Fusion for Trajectory Prediction in Low Illumination Scenarios: A Multi-channel Graph Convolutional Approach" accepted by IEEE-TITS

  Language:Python183

• forthespada/CS-Books

  🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

  20.6k3.7k

• DA-southampton/NLP_ability

  总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

  Language:Python6.8k1.2k

• songyingxin/NLPer-Interview

  该仓库主要记录 NLP 算法工程师相关的面试题

  2.6k505

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.3k15.8k

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook15.8k4.5k

• lawlite19/MachineLearning_Python

  机器学习算法python实现

  Language:Python7.2k2.4k

• nonstriater/Learn-Algorithms

  算法学习笔记

  Language:C8.3k2.4k

• TommyGong08/LSTM_Trajectory_Prediction

  Using LSTM to predict the path of the driverless vehicle

  Language:Python578

• PKUFlyingPig/cs-self-learning

  计算机自学指南

  Language:HTML56.2k6.8k

• iptv-org/iptv

  Collection of publicly available IPTV channels from all over the world

  Language:JavaScript84.8k2.5k

• thunlp/OpenHowNet

  Core Data of HowNet and OpenHowNet Python API

  Language:Python60788

• codertimo/BERT-pytorch

  Google AI 2018 BERT pytorch implementation

  Language:Python6.2k1.3k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python133k26.5k