tbs17

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

bdown

bert

TensorFlow code and pre-trained models for BERT

BRUCE-Cybersecurity-Search-Engine

MathBERT

precisionLearning

SusceptibilityRepo

TAPT-BERT

tensorflow

Computation using data flow graphs for scalable machine learning

TS-Interpretability-Benchmark

tbs17/MathBERT

tbs17/precisionLearning

tbs17/SusceptibilityRepo

tbs17/TAPT-BERT

tbs17/TS-Interpretability-Benchmark

tbs17/amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

tbs17/bdown

tbs17/bert

TensorFlow code and pre-trained models for BERT

tbs17/BRUCE-Cybersecurity-Search-Engine

tbs17/EduResource

tbs17/fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

tbs17/fast-bert

Super easy library for BERT based NLP models

tbs17/FinalReport

tbs17/geocoding

Geocoding tutorial in Python

tbs17/IST597_Deep_Learning_2018

IST597-Homeworks

tbs17/IST597_Fall2019_TF2.0

Official github page for all IST597 Assignments

tbs17/KT

Knowledge Tracing Models with PyTorch

tbs17/KT_Imputing

tbs17/Longitudinal-VAE

Python scripts for our model described in http://proceedings.mlr.press/v130/ramchandran21b.html

tbs17/MEDIUM_NoteBook

Repository containing notebooks of classification for ARIMA on Medium

tbs17/node-js

tbs17/PSUPythonWorkshop

tbs17/pytorch-pretrained-BERT

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

tbs17/pytube

🎞 A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.

tbs17/test3

tbs17/time-lag-selection

tbs17/transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

tbs17/transferlearning-tutorial

《迁移学习简明手册》LaTex源码

tbs17/transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

tbs17/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow