Rayen Dhahri (Heatdh)

Heatdh

Geek Repo

Company:@Huawei @tum-ei-eda @intel @Mu-DS

Location:Munich

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Rayen Dhahri's repositories

IterAsianAI

Repository for The TUM.AI competition

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ai-residency

List of AI Residency Programs

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alexa-skills-kit-sdk-for-python

The Alexa Skills Kit SDK for Python helps you get a skill up and running quickly, letting you focus on skill logic instead of boilerplate code.

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AnomalyDetect

Detects anomalous resting heart rate from smartwatch data.

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argmining-21-keypoint-analysis-sharedtask-code

The code for the our submission for the key point analysis sharedtask (2021)

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Augmentsal

Research project in the field of Saliency Prediction conducted at EPFL

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CSGOstatprediction

Collecting Data using the HLTV API to analyse and predict the outcome of cs go matches as well as players performance

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cv_private_seg

A repository to lauzhack

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debater-eap-tutorial

Project Debater Early Access Program Tutorial

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DeepIoT

DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework

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deepsparse

Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs

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dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

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heatdh.github.io

Temproarialy not yet updated

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ImagineCup

Resources to help you enter, and perhaps win, the Imagine Cup, a worldwide event by Microsoft

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Laplace

Laplace approximations for Deep Learning.

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llama-recipes

Examples and recipes for Llama 2 model

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my-examples-for-the-arduino-portentaH7

My examples fir the new Arduino Pro board the Portenta H7

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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Onnx-tutorials

Tutorials for creating and using ONNX models

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saliency

A Fork of SimpleNet with modifications

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Scene-gen

Documentation on how to access and use the Quick, Draw! Dataset.

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Sparse-gpt2

Learning a Sparse gpt2 network

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sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

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tflite-micro

Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).

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YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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