jungsoh Goto Github PK
Name: Jung Soh
Type: User
Location: Calgary, Alberta, Canada
Name: Jung Soh
Type: User
Location: Calgary, Alberta, Canada
Neural machine translation network with an attention mechanism and its application to date translation
Material used for a bioinformatics computer lab course, covering DNA/RNA sequence assembly and analysis, phylogenetic analysis, gene functional annotation, and metagenomic analysis
TensorFlow Keras Sequential API implementation of a convolutional neural network to classify a face image as happy (smiling) or not
TensorFlow Keras Functional API implementation of a convolutional neural network to recognize sign language digits
NumPy implementation of deep neural networks to classify an image as containing a cat or not
TensorFlow implementation of a deep neural network to recognize sign language digits
Application of pre-trained FaceNet to face verification and face recognition problems face-recognition facenet keras-models triplet-loss face-verification inception-network face-encoding
Recurrent neural network with GRUs for trigger word detection from an audio clip
Material used for a course on handling high-throughput genomic data handling, covering DNA sequence assembly, RNA-seq data analysis, metagenomics, and read alignment
Material used for an introductory scripting course for people with biology background, covering Linux, Python, regular expressions, Perl, API access to databases, and R.
Config files for my GitHub profile.
Data Scientist | Machine Learning, Deep Learning, AI, Computer Vision, Bioinformatics
Long short-term memory (LSTM) trained on a corpus of music to generate novel music
Neural style transfer to merge content and style images using pre-trained VGG19 model
Keras Functional API implementation of the 50-layer residual neural network (ResNet-50) and its application to sign language digit recognition
Recurrent neural network for building a character-level language model and its application to generating new dinosaur names
Transfer learning with MobileNetV2 trained on ImageNet to classify alpaca vs non-alpaca from an image
Material used for a course on transcriptomics, covering transcriptome assembly, transcriptome functional annotation, differential expression analysis, and functional annotation data mining
Use of pre-trained transformer models from the Hugging Face library for named entity recognition from resumes
Fine tuning pre-trained transformer models in TensorFlow and in PyTorch for question answering
Application of U-Net to semantic image segmentation of road images by pixel-wise classification
Use of word embeddings to classify sentiments of sentences and automatically attach emojis
Use of word embeddings and document similarity to solve word analogy problems
Application of pre-trained YOLO object detection model to car detection for autonomous driving
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.