Fred Reiss (frreiss)

frreiss

Geek Repo

Company:IBM Research

Location:San Jose, CA

Home Page:https://research.ibm.com/

Github PK Tool:Github PK Tool


Organizations
CODAIT
IBM

Fred Reiss's repositories

tf-dev-conf

Fred's TensorFlow development configuration files.

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zero-copy-model-loading

In-depth code associated with my Medium blog post, "How to Load PyTorch Models 340 Times Faster with Ray"

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Refactored-MAX-Object-Detector

Prototype of new structure for the existing project IBM/MAX-Object-Detector

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MAX-Facial-Age-Estimator-Web-App

Create a web app to show the age estimation from the detected human faces

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tep-fred

Fred's development fork of https://github.com/CODAIT/text-extensions-for-pandas

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bazel-zlinux-binaries

Fred's precompiled Bazel binaries for zLinux

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covid-notebooks-fred

Jupyter notebooks that analyze COVID-19 time series data

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docs-fred

TensorFlow documentation

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fred-gde-notebooks

Fred's scratchpad Jupyter notebooks for GraphDef Editor development

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graph_def_editor_fred

GraphDef Editor: A port of the TensorFlow contrib.graph_editor package that operates over serialized graphs

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Identifying-Incorrect-Labels-In-CoNLL-2003

Research into identifying and correcting incorrect labels in the CoNLL-2003 corpus.

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intellij

IntelliJ plugin for Bazel projects

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keras-fred

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

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llama-stack

Model components of the Llama Stack APIs

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MAX-Inception-ResNet-v2

Identify objects in images using a third-generation deep residual network.

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models-fred

Models built with TensorFlow

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modin

Modin: Unify the way you interact with your data

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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

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Project_CodeNet

This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

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protobuf-fred

Protocol Buffers - Google's data interchange format

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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.

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scikit-learn

scikit-learn: machine learning in Python

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scipy_2021

Tools used to generate the SciPy conference proceedings

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scripts

Useful scripts for various development tasks

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serving-fred

A flexible, high-performance serving system for machine learning models

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spark-bench

Benchmark Suite for Apache Spark

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spark-fred

Mirror of Apache Spark

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tensorflow-fred

Computation using data flow graphs for scalable machine learning

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text_extensions_for_pandas-feedstock

A conda-smithy repository for text_extensions_for_pandas.

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