jiwoncpark

jiwoncpark's Stars

• soulmachine/machine-learning-cheat-sheet

  Classical equations and diagrams in machine learning

  Language:TeX7.4k385151.3k

• bentrevett/pytorch-seq2seq

  Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

  Language:Jupyter Notebook5.4k651921.3k

• BoltzmannEntropy/interviews.ai

  It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

  4.5k539298

• facebookresearch/esm

  Evolutionary Scale Modeling (esm): Pretrained language models for proteins

  Language:Python3.2k65320640

• dangkhoasdc/awesome-ai-residency

  List of AI Residency Programs

  3.1k4939271

• jiesutd/NCRFpp

  NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

  Language:Python1.9k60172446

• Tiiiger/bert_score

  BERT score for text generation

  Language:Jupyter Notebook1.6k22158216

• jluttine/tikz-bayesnet

  TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

  Language:TeX8292811147

• lukemelas/PyTorch-Pretrained-ViT

  Vision Transformer (ViT) in PyTorch

  Language:Python7871030127

• jMetal/jMetalPy

  A framework for single/multi-objective optimization with metaheuristics

  Language:Python52222106150

• aleximmer/Laplace

  Laplace approximations for Deep Learning.

  Language:Python4681014672

• srush/annotated-s4

  Implementation of https://srush.github.io/annotated-s4

  Language:Python46892760

• openturns/openturns

  Uncertainty treatment library

  Language:C++238191k93

• pints-team/pints

  Probabilistic Inference on Noisy Time Series

  Language:Python2281299933

• vinecopulib/pyvinecopulib

  A Python library for vine copula models

  Language:C++9495121

• wesselb/neuralprocesses

  A framework for composing Neural Processes in Python

  Language:Python7831512

• wesselb/NeuralProcesses.jl

  A framework for composing Neural Processes in Julia

  Language:Julia76625

• ananyahjha93/multi-level-vae

  This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), which was accepted at AAAI-18.

  Language:Python703213

• prescient-design/walk-jump

  Official repository for discrete Walk-Jump Sampling (dWJS)

  Language:JavaScript45645

• a96123155/TransPHLA-AOMP

  Language:Jupyter Notebook401714

• VGligorijevic/deepNF

  Deep Network Fusion (deepNF)

  Language:Python324510

• ardaegeunlu/Contextual-Gaussian-Process-Bandit-Optimization

  Simple implementation of the CGP-UCB algorithm.

  Language:Python31115

• zhao-david/CDE-diagnostics

  Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms

  Language:Jupyter Notebook14211

• nowittynamesleft/NetQuilt

  Language:Python8000

• cdiazbas/bayesflows

  Bayesian Stokes inversion with Normalizing flows

  Language:Python7100

• biprateep/recalibrate-pdfs

  Code associated with the NeurIPS ML4PS paper titled, "Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression"

  Language:Jupyter Notebook3100

• wenlong-sun7/Debiasing-the-Human-Recommender-System-Feedback-Loop-in-Collaborative-Filtering

  Debiasing the Human-Recommender System Feedback Loop in Collaborative Filtering Paper at The 2019 World Wide Web Conference

  Language:Jupyter Notebook3101

• jiwoncpark/mixture-models

  Language:Python2101

• saavikford/filter-to-radius

  Given a filter and other parameters, tell me what disk radii contribute to observed flux

  Language:Python2100

• andrew-yiu/Semiparametric-posterior-corrections

  Language:R1