Fred Reiss's repositories
tf-dev-conf
Fred's TensorFlow development configuration files.
Refactored-MAX-Object-Detector
Prototype of new structure for the existing project IBM/MAX-Object-Detector
zero-copy-model-loading
In-depth code associated with my Medium blog post, "How to Load PyTorch Models 340 Times Faster with Ray"
MAX-Facial-Age-Estimator-Web-App
Create a web app to show the age estimation from the detected human faces
bazel-zlinux-binaries
Fred's precompiled Bazel binaries for zLinux
covid-notebooks-fred
Jupyter notebooks that analyze COVID-19 time series data
fred-gde-notebooks
Fred's scratchpad Jupyter notebooks for GraphDef Editor development
graph_def_editor_fred
GraphDef Editor: A port of the TensorFlow contrib.graph_editor package that operates over serialized graphs
Identifying-Incorrect-Labels-In-CoNLL-2003
Research into identifying and correcting incorrect labels in the CoNLL-2003 corpus.
keras-fred
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
MAX-Image-Caption-Generator-Web-App
Use a deep learning model to filter images in a web application
MAX-Inception-ResNet-v2
Identify objects in images using a third-generation deep residual network.
models-fred
Models built with TensorFlow
pandas-fred
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Project_CodeNet
This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX
protobuf-fred
Protocol Buffers - Google's data interchange format
reefer
This is a prescriptive maintenance implementation for real time analytics on event stream coming from Reefer Container. The solution include a reefer simulator, a scoring microservice, a container event listener to trigger a business process when the scoring identify the Reefer container needs a maintenance. All run on Openshift.
scikit-learn
scikit-learn: machine learning in Python
scipy_2021
Tools used to generate the SciPy conference proceedings
serving-fred
A flexible, high-performance serving system for machine learning models
spark-bench
Benchmark Suite for Apache Spark
spark-fred
Mirror of Apache Spark
tensorflow-fred
Computation using data flow graphs for scalable machine learning
text_extensions_for_pandas-feedstock
A conda-smithy repository for text_extensions_for_pandas.