leej35

Transformers4Rec

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

ml4h

Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

colab-tricks

Tricks for Colab power users

HCL

ICLR 2021, Contrastive Learning with Hard Negative Samples

ame

🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of feature importance for individual samples.

mixture-of-experts

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

pytorch-domain-adaptation

A collection of implementations of adversarial domain adaptation algorithms

DANN

pytorch implementation of Domain-Adversarial Training of Neural Networks

pytorch-revgrad

A minimal pytorch package implementing a gradient reversal layer.

v002-Camera-Live

Live Syphon Camera

Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

Bear-Markdown-Export

Markdown export from Bear sqlite database

PyHealth

A Deep Learning Python Toolkit for Healthcare Applications.

fastMRI

A large-scale dataset of both raw MRI measurements and clinical MRI images.

krbauth.py

Python wrapper module around kinit for simple Kerberos authentication.

bash-concurrent

Bash function to run tasks in parallel and display pretty output as they complete.

Funnel-Transformer

dynamic-evaluation

Dynamic evaluation for pytorch language models, now includes hyperparameter tuning

paper-notes

Random notes on papers, likely a short-term repo.

LSH_Memory

One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH

TaLKConvolutions

Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)

py-spy

Sampling profiler for Python programs

rectorch

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

ranking-metrics-torch

Simple ranking metrics for PyTorch on CPU or GPU

petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

NVTabular

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

cy2me

싸이월드 게시판, 다이어리, 사진첩, 블로그 백업 솔루션

NetNewsWire

RSS reader for macOS and iOS.