Topic: dl Goto Github
Some thing interesting about dl
Some thing interesting about dl
dl,Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
User: aaaastark
dl,使用 MD 文件记录 Java, Python, ML, DL, NLP 的学习笔记
Organization: ai-papers-translation
dl,机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有:机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战
Organization: aimi-cn
Home Page: https://github.com/aimi-cn/AILearners
dl,基于卷积神经网络的通信调制方式识别
User: alansunyulin
dl,Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global multi-disciplinary team of researchers, developers, and clinicians have made publicly available a suite of tailored deep neural network models for tackling different challenges ranging from screening to risk stratification to treatment planning for patients with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Furthermore, we have made available fully curated, open access benchmark datasets comprised of some of the largest, most diverse patient cohorts from around the world.
User: alexswong
dl,MeshWalker implementation
User: alonlahav
dl,Develop DL models using Pytorch and Hugging Face
User: arunprakash-a
Home Page: https://arunprakash-a.github.io/DL-Pytorch-Workshop/
dl,This is Andrew NG Coursera Handwritten Notes.
User: ashishpatel26
dl,Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.
User: ashishpatel26
dl,A curated list of applied machine learning and data science notebooks and libraries across different industries.
User: ashishpatel26
dl,A python based utility to download courses from infosec4tc.teachable.com , academy.ehacking.net and stackskills.com for personal offline use.
User: barakagb
Home Page: https://pypi.org/project/gb-dl/
dl,:alien:Tensorflow realizes deeplearning
User: chehongshu
dl,Reading notes on deep learning papers---深度学习论文阅读笔记
User: cjmcv
Home Page: https://cjmcv.github.io/deeplearning-paper-notes/
dl,This repo is a one stop destination to find resources for learning various domains. You can find the roadmap for any domain here.
Organization: codechefvit
Home Page: https://codechefvit.github.io/resources/
dl,COMSM0045 Applied Deep Learning Labsheets 2022
Organization: comsm0045-applied-deep-learning
dl,Lab worksheets for the Applied Deep Learning Course.
Organization: comsm0045-applied-deep-learning
Home Page: https://comsm0018-applied-deep-learning.github.io/
dl,AI ——人工智能工具集,包含机器学习,深度学习,自然语言处理
User: decalogue
dl,Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)
User: dyakonov
dl,To detect American Sign Language in real-time.
Organization: gdsc-kiit
dl,QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
User: geekjr
dl,验证码识别,该模型是基于xlvector模型上进行加工,验证码内容包含了大小字母以及数字,采用lstm+warp-ctc+cnn达到不分割字符而识别验证码内容~
User: gongxijun
dl,Collection of AI resources to fight against Coronavirus (COVID-19)
User: hollobit
Home Page: https://github.com/hollobit/COVID-19-AI/
dl,This is the ResNet50 implementation of the Eurosat dataset.
User: iamtekson
dl,人工智能 100 天
Organization: iosdevlog
Home Page: https://github.com/iOSDevLog/100-days-of-ai
dl,CVPR Workshop paper - AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise
User: julian-wyatt
Home Page: https://julianwyatt.co.uk/anoddpm
dl,Enabling easy statistical significance testing for deep neural networks.
User: kaleidophon
Home Page: https://deep-significance.rtfd.io/en/latest/
dl,Text to Video Generation Problem
User: lukoshkin
dl,猫狗二分类图片识别
Organization: machine-learning-for-research
dl,C++ cross-platform wrapper around dynamic loading of shared libraries (dll, so, dylib)
User: martin-olivier
Home Page: https://conan.io/center/recipes/dylib
dl,A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.
User: nachimak28
dl,This is a AI Based Smart Exam Proctoring System using python flask, mysql as database, yolov4
User: narender-rk10
dl,Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
User: neomatrix369
dl,📘 The experiment tracker for foundation model training
Organization: neptune-ai
Home Page: https://neptune.ai
dl,Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch
User: notedance
dl,DAB/DAB+ receiver for Linux (including ETI-NI and EDI AF playback)
Organization: opendigitalradio
dl,Fined grained classification On Car dataset
User: ouceduxzk
dl,Cheatsheets on numerous topics ranging from DataScience | ML | DL | AI | Big Data.
User: prateekralhan
dl,Boosting the AI research efficiency
Organization: repromodel
dl,Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data Science or AI!
User: rsnk96
dl,The case study on a Network-based Intrusion Detection System is a Machine Learning-based Web application based on https://arxiv.org/pdf/1903.02460.pdf research paper. I have performed both binary and multi-class classification to predict the presence of any intrusion-based signal. If present, then which type of signal is present in the network. I have used various techniques like under sampling and over sampling because of the imbalances in the dataset, then train the model using Machine Learning techniques like Logistic Regression, Random Forest, XGBoost. Lastly built a web application and deploy it to AWS using AWS EC2 instance
User: sayanbanerjee992
dl,A curated list of research papers, datasets, and tools for applying machine learning/Deep learning techniques to compilers and program optimization.
User: shrutisaxena51
dl,Open-source implementation of Google Vizier for hyper parameters tuning
User: tobegit3hub
Home Page: https://advisor.readthedocs.io
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