Pinned Repositories
239as-rl-proj
amortization
Python library for calculating amortizations and generating amortization schedules
CDSML
Classification of drug response using machine learning
ConsDeepSignaling
Construct a Biological Meaningful Deep Learning Model, Also With Global Interpreation
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
DATA_SCIENCE
deep-Q-networks
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
deepred
A PyTorch implementation of DeepRed
dmol-book
Deep learning for molecules and materials book
Machine-Learning-for-Time-Series-with-Python
Machine Learning for Time-Series with Python.Published by Packt
nathanielkang's Repositories
nathanielkang/dmol-book
Deep learning for molecules and materials book
nathanielkang/Machine-Learning-for-Time-Series-with-Python
Machine Learning for Time-Series with Python.Published by Packt
nathanielkang/239as-rl-proj
nathanielkang/CDSML
Classification of drug response using machine learning
nathanielkang/ConsDeepSignaling
Construct a Biological Meaningful Deep Learning Model, Also With Global Interpreation
nathanielkang/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
nathanielkang/deepred
A PyTorch implementation of DeepRed
nathanielkang/disentangled-attribution-curves
Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
nathanielkang/Dueling_Network_Architectures
Implementation of Dueling Network Architectures for Deep Reinforcement Learning paper with Pytorch
nathanielkang/ee227c.github.io
EE227C (Spring 2018) Course page
nathanielkang/FedShare
PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
nathanielkang/flower
Flower: A Friendly Federated Learning Framework
nathanielkang/GEM
nathanielkang/GraTransDRP
nathanielkang/imbalanced-regression
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
nathanielkang/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
nathanielkang/mad-from-scratch
Machine learning, artificial intelligence, and data analytics built from scratch.
nathanielkang/mead-tutorials
Tutorial on using MEAD
nathanielkang/midas_pro
Python version of Mixed Data Sampling (MIDAS) regression (allow for multivariate MIDAS) :golf:
nathanielkang/moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
nathanielkang/node2vec
nathanielkang/node2vec_v3
nathanielkang/pyGAM
Generalized Additive Models in Python
nathanielkang/rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
nathanielkang/river
🌊 Online machine learning in Python
nathanielkang/SST-2-sentiment-analysis
Use BiLSTM_attention, BERT, ALBERT, RoBERTa, XLNet model to classify the SST-2 data set based on pytorch
nathanielkang/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
nathanielkang/tree-ch
Tree stream mining algorithm Chernoff Bound
nathanielkang/webconf-pytorch-workshop
PyTorch Tutorial - Workshop at The Web Conference 2021
nathanielkang/yonsei_research
Personal Research for Nathaniel Kang