Pinned Repositories
alphaxenas
Neural architecture search with reinforcement learning and Monte Carlo Search Trees
CabX
a ride-sharing aggregator for iOS
capstone_fs9
Code repository for capstone project
competitions
Solutions to Recommender Systems competitions
core
Core Utilities for NVIDIA Merlin
dataloader
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
dlnd-nn
dlusecases
Kaggle-Otto-Comp
I share my solution for the Otto Competition, scoring LB 0.601, using Reranker, Transformers and GRU
models-1
Merlin Models is a collection of deep learning recommender system model reference implementations
bschifferer's Repositories
bschifferer/Kaggle-Otto-Comp
I share my solution for the Otto Competition, scoring LB 0.601, using Reranker, Transformers and GRU
bschifferer/alphaxenas
Neural architecture search with reinforcement learning and Monte Carlo Search Trees
bschifferer/models-1
Merlin Models is a collection of deep learning recommender system model reference implementations
bschifferer/CabX
a ride-sharing aggregator for iOS
bschifferer/capstone_fs9
Code repository for capstone project
bschifferer/competitions
Solutions to Recommender Systems competitions
bschifferer/core
Core Utilities for NVIDIA Merlin
bschifferer/dataloader
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
bschifferer/dlnd-nn
bschifferer/dlusecases
bschifferer/exploratory_law.case
bschifferer/gans3d_final
Implementing 3D Gans for object generation
bschifferer/histopathologic_cancer_detection
Image classification with PyTorch for Histopathologic Cancer Detection
bschifferer/image-generator-visualizer
bschifferer/Merlin-1
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
bschifferer/notebooks
bschifferer/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.
bschifferer/systems
Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature stores, nearest neighbor search, and exploration strategies) into end-to-end recommendation pipelines that can be served with Triton Inference Server.
bschifferer/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
bschifferer/transferlearning
Modul to extract hidden features from images via tensorflow hub and inception v3
bschifferer/Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
bschifferer/unysport_public
UNYSport is a react native iOS app with python backend, which enables user to register, create and join sport groups