Pinned Repositories
bert
TensorFlow code and pre-trained models for BERT
chaosmonkey
Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
cortex
Machine learning model serving infrastructure
CSML_notes
UCL MSc Computational Statistics and Machine Learning Revision Notes
doctr
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
examples
PyQt examples show you how to create a desktop app with Python and Qt. Start with "Hello World" or browse the official PyQt demos.
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
HappiestCities
Repo for my Machine Learning project on determining the happiest cities in the world through Tweet sentiment analysis with BERT.
HMMs_Stock_Market
Contains all code related to using HMMs to predict stock market prices.
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
jiseungshin's Repositories
jiseungshin/bert
TensorFlow code and pre-trained models for BERT
jiseungshin/chaosmonkey
Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
jiseungshin/cortex
Machine learning model serving infrastructure
jiseungshin/CSML_notes
UCL MSc Computational Statistics and Machine Learning Revision Notes
jiseungshin/doctr
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
jiseungshin/examples
PyQt examples show you how to create a desktop app with Python and Qt. Start with "Hello World" or browse the official PyQt demos.
jiseungshin/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
jiseungshin/HappiestCities
Repo for my Machine Learning project on determining the happiest cities in the world through Tweet sentiment analysis with BERT.
jiseungshin/HMMs_Stock_Market
Contains all code related to using HMMs to predict stock market prices.
jiseungshin/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
jiseungshin/interestingFiles
jiseungshin/Kobold
jiseungshin/mean-teacher
A state-of-the-art semi-supervised method for image recognition
jiseungshin/nn_builder
Removes the need for boilerplate code when building neural networks
jiseungshin/pm4py-source
Main repostitory for the pm4py project.
jiseungshin/PMLAB
Process Mining scripting environment
jiseungshin/practical-pytorch
PyTorch tutorials demonstrating modern techniques with readable code
jiseungshin/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
jiseungshin/ProcessSequencePrediction
jiseungshin/Prozessdatenbank
ProzessDatenbank
jiseungshin/pythia
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
jiseungshin/pytorch-seq2seq
pytorch-seq2seq is a framework for sequence-to-sequence (seq2seq) models in PyTorch.
jiseungshin/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
jiseungshin/scikit-learn
scikit-learn: machine learning in Python
jiseungshin/sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
jiseungshin/SSGAN-Tensorflow
A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
jiseungshin/stable-diffusion
jiseungshin/Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
jiseungshin/V2S-tensorflow
Soft attention mechanism for video caption generation
jiseungshin/vgg16Pretrained
vgg16 model pretrained for further studies