LockandlocK

LockandlocK's Stars

• aqibsaeed/Multilabel-timeseries-classification-with-LSTM

  Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

  Language:Jupyter Notebook574187

• YerevaNN/mimic3-benchmarks

  Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

  Language:Python805329

• RobRomijnders/LSTM_tsc

  An LSTM for time-series classification

  Language:Python408146

• Stirling-Tools/Stirling-PDF

  #1 Locally hosted web application that allows you to perform various operations on PDF files

  Language:Java46.1k3.7k

• defog-ai/sqlcoder

  SoTA LLM for converting natural language questions to SQL queries

  Language:Jupyter Notebook3.4k217

• SWHL/AI-Competition-Collections

  AI比赛经验帖子 & 训练和测试技巧帖子 集锦（收集整理各种人工智能比赛经验帖）

  Language:Python31735

• zhpmatrix/nlp-competitions-list-review

  复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！

  2.7k420

• datawhalechina/llm-cookbook

  面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

  Language:Jupyter Notebook11.9k1.5k

• echonet/dynamic

  EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

  Language:Python476166

• TommyZihao/Train_Custom_Dataset

  标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

  Language:Jupyter Notebook3.2k659

• THUDM/ChatGLM3

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

  Language:Python13.5k1.6k

• DemianWang/HighD-NGSIM-lane-change-feature-extraction

  HighD,NGSIM lane change feature extraction and save.

  Language:Python8315

• ooobiii/echocardiac_image_segmentation

  In this project, we will train a U-net model to segment echocardiographic images consisting of both ES and ED. In addition, timing images of cardiac images will be segmented, and the volume and area of the images will be graphed. Finally, the worst-performing masks will be plotted with their respective frames.

  Language:Jupyter Notebook3

• IMPLabUniPr/mmdetection

  Open MMLab Detection Toolbox and Benchmark

  Language:Python61

• chriskhanhtran/CS231n-CV

  Assignments and projects in CS231n-2019

  Language:Jupyter Notebook151

• lidangzzz/How-to-run

  立党零基础转码笔记

  Language:TypeScript5.4k344

• doronharitan/human_activity_recognition_LRCN

  Language:Python7619

• ndrplz/ConvLSTM_pytorch

  Implementation of Convolutional LSTM in PyTorch.

  Language:Python2k434

• jfzhang95/pytorch-video-recognition

  PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.

  Language:Python1.2k252

• baifengbai/PYTORCH_LEARNING

  书籍：深度学习框架pytorch入门与实践

  Language:Jupyter Notebook15179

• bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets

  Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

  Language:Python1.9k346

• hobincar/pytorch-video-feature-extractor

  A repository for extract CNN features from videos using pytorch

  Language:Python6918

• HHTseng/video-classification

  Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

  Language:Jupyter Notebook939215

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python23.9k4.4k

• 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:JavaScript54.8k15.9k

• jackfrued/Python-100-Days

  Python - 100天从新手到大师

  Language:Python157k52.4k

• TingsongYu/PyTorch_Tutorial

  《Pytorch模型训练实用教程》中配套代码

  Language:Python7.5k1.7k

• Data-Scientist/LB01_PAB_0306

  Predicting Algae Bloom

  Language:Ruby21

• Oslandia/qgis-epanet

  Project migrated to : https://gitlab.com/Oslandia/qgis/qgis-epanet

  Language:QML3522

• LiuXingMing/SinaSpider

  新浪微博爬虫（Scrapy、Redis）

  Language:Python3.3k1.5k