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Little More Advanced TensorFlow Implementations
A simple question-answering system built using IBM Watson's NLP services.
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
A collection of resources on GAN inversion.
A collection of important graph embedding, classification and representation learning papers with implementations.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Recurrent Neural Network - A curated list of resources dedicated to RNN
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]
The training set consisted of 25,000 images out of which 5,000 images were taken out as validation data. Separate test data folder consisted of 12,500 images for which the labels were predicted using trained model. My work includes preprocessing for model, Data augmentation to prevent overfitting, callbacks in keras to reduce learning rate timely, various CNN architecture trials with different layers and hyperparameters for best fit and learning curve wrt epochs. I gained a validation accuracy of 87.15 % without using any pretrained imagenet models . VGG-16 gave around 89 % as validation accuracy.
Chinese Data Competitions' Solutions
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
https://cn.udacity.com/mlnd/
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
七月算法6月数据挖掘班
Repo for the Deep Learning Nanodegree Foundations program.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Learning Resources and Tutorials using Keras and Lasagne
深度学习入门教程, 优秀文章, Deep Learning Tutorial
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15个章节,近20万字。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[email protected] 版权所有,违权必究 Tan 2018.06
TensorFlow Basic Tutorial Labs
Deep Learning NLP Pipeline implemented on Tensorflow
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
DeepWalk - Deep Learning for Graphs
深度学习 检测异常 URL | Request (比较 Bi-LSTM、Bi-LSTM + CNN、CNN + Bi-LSTM、Bi-LSTM + Attention、CNN + Bi-LSTM + CNN 模型)
Applying text model to Detection Task
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A library for graph deep learning research
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.