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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

benchmark_vae

Unifying Generative Autoencoder implementations in Python

cflow-ad

Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

classification-ad

Repository for the paper "Rethinking Assumptions in Anomaly Detection"

cs231n.github.io

Public facing notes page

decima-sim

Learning Scheduling Algorithms for Data Processing Clusters

deeprm

Resource Management with Deep Reinforcement Learning (HotNets '16)

examples

TensorFlow examples

fcdd

Repository for the Explainable Deep One-Class Classification paper

garage

A toolkit for reproducible reinforcement learning research.

hololens2-machine-learning

Using deep learning models for image classification directly on the HoloLens 2.

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mixedreality-worldlockingtools-unity

Unity tools to provide a stable coordinate system anchored to the physical world.

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

nnstreamer

:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.

nnstreamer-example

Example applications of nnstreamer. Note that we have to enable the 'apptest" CI module in the near future.

ns3-gym

ns3-gym - The Playground for Reinforcement Learning in Networking Research

park

patchcore_anomaly_detection

Unofficial implementation of PatchCore anomaly detection

pensieve

Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)

playwithcoco

swpp202001

swpp202001-assn1

tensorflow-yolov4-tflite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

yolodetectionhololens-unity

Object detection on the HoloLens through streaming PV camera frames to a companion PC, processing those using a YOLO framework, and returning the bounding box data which is rendered using Unity.

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite