sbhttcha Goto Github PK
Type: User
Type: User
A curated list of awesome deep learning applications in the field of computational biology
My submission for the Kaggle challenge "When bag of words meets bags of popcorn"
An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
C++ implementation of the Brown word clustering algorithm.
A tensorflow implementation of French-to-English machine translation using DeepMind's ByteNet .
Camelot: PDF Table Extraction for Humans
Character level models for sentiment analysis
CheTo - Chemical Topic Modeling
Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records.
CNNs for sentence classification
Folder for Data
Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Theano, Tensorflow, models and data
A collaboratively written review paper on deep learning, genomics, and precision medicine
DeepChem 2017: Deep Learning & NLP for Computational Chemistry, Biology & Nano-materials
A list of deep learning implementations in biology
Kaggle's competition for using Google's word2vec package for sentiment analysis
dna2vec: Consistent vector representations of variable-length k-mers
Jupyter notebook for the application of convolutional neural nets to toy DNA sequence data
The fastai deep learning library, plus lessons and and tutorials
Library for fast text representation and classification.
Code for the paper "Generating and designing DNA with deep generative models" (arXiv:1712.06148)
Topic Modelling for Humans
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
Examples of machine learning, with an emphasis on deep learning.
Mol2vec notebooks for use with Binder service
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
Python-based tools for document analysis and OCR
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.