xaviercallens's repositories

FfDL

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

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kubeflow-labs

👩‍🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure

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rmol

C++ Simulation Revenue Management (RM) Open Library

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drive-sdk

Anki Drive SDK

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C-3-Framework

An open-source PyTorch code for crowd counting

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vision

Datasets, Transforms and Models specific to Computer Vision

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lab

A customisable 3D platform for agent-based AI research

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VectorCloud

A web interface for Anki Vector

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ros_deep_learning

Deep learning inference nodes for ROS with support for NVIDIA Jetson TX1/TX2/Xavier and TensorRT

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jetbot

An educational AI robot based on NVIDIA Jetson Nano.

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kubeflow-recommender

Kubeflow example of machine learning/model serving

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jpmml-evaluator

Java Evaluator API for PMML

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kylo

Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on big data technologies such as Teradata, Apache Spark and/or Hadoop. Kylo is licensed under Apache 2.0. Contributed by Teradata Inc.

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awesome-anki-vector

Anki Vector AI++

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spark-operator

Operator for managing the Spark clusters on Kubernetes and OpenShift.

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minigo

An open-source implementation of the AlphaGoZero algorithm

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azure-databricks-labs

This project have the sample programs for the Azure Databricks technical enablement workshop!

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Function-level-Vulnerability-Dataset

Labeled vulnerable functions statistics analysis and neural network training

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Hydrograph

A visual ETL development and debugging tool for big data

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professional-services

Common solutions and tools developed by Google Cloud's Professional Services team

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tiny-yolov3-on-intel-neural-compute-stick-2

Train a tiny-YOLOv3 model with transfer learning on a custom dataset and run it with a Raspberry Pi on an Intel Neural Compute Stick 2

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Crowd_counting_from_scratch

This is an overview and tutorial about crowd counting. In this repository, you can learn how to estimate number of pedestrians in crowd scenes through computer vision.

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OptML_course

EPFL Course - Optimization for Machine Learning - CS-439

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awesome-ai-infrastructures

Infrastructures™ for Machine Learning Training/Inference in Production.

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vector-python-sdk

Anki Vector Python SDK

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tensorflow_object_counting_api

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow that makes it easy to develop object counting systems!

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models

Models and examples built with TensorFlow

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count

An experiment with crowd counting. Trains a keras model in python for use with Rails and iOS CoreML.

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OpenVINO-DeeplabV3

[4-5 FPS / Core m3 CPU only] [11 FPS / Core i7 CPU only] OpenVINO+DeeplabV3+LattePandaAlpha/LaptopPC. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+Tensorflow v1.11.0+OpenCV3.4.3+PIL

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