oguzhanbsolak

ai8x-synthesis

Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices

ai8x-training

Model Training for ADI's MAX78000 and MAX78002 Edge AI Devices

ai8x-synthesis

Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 AI Devices

ai8x-training

Model Training for ADI's MAX78000 and MAX78002 AI Devices

DeepVO-pytorch

PyTorch Implementation of DeepVO

distiller

Fork of Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

ECG-Pipeline

Our end-to-end pipeline is designed to flexibly process data from different recording machinery and to read data in PDF format as well as data from native digital devices delivered in XML.

facial_recognition_demo

msdk

Software Development Kit for Analog Device's MAX-series microcontrollers

refdes

MAX78000 and MAX78002 Reference Designs

oguzhanbsolak/ECG-Pipeline

Our end-to-end pipeline is designed to flexibly process data from different recording machinery and to read data in PDF format as well as data from native digital devices delivered in XML.

oguzhanbsolak/ai8x-synthesis

Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 AI Devices

oguzhanbsolak/ai8x-training

Model Training for ADI's MAX78000 and MAX78002 AI Devices

oguzhanbsolak/DeepVO-pytorch

PyTorch Implementation of DeepVO

oguzhanbsolak/distiller

Fork of Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

oguzhanbsolak/facial_recognition_demo

oguzhanbsolak/FTHR_facial_recognition_demo

oguzhanbsolak/jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

oguzhanbsolak/MAX78000_Debugging

oguzhanbsolak/model_optimization

Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.

oguzhanbsolak/msdk

Software Development Kit for Analog Device's MAX-series microcontrollers

oguzhanbsolak/RAFT

oguzhanbsolak/RAM-VO

RAM-VO: A Recurrent Attentional Model for Visual Odometry.

oguzhanbsolak/refdes

MAX78000 and MAX78002 Reference Designs

oguzhanbsolak/taming-transformers

Taming Transformers for High-Resolution Image Synthesis

oguzhanbsolak/kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

oguzhanbsolak/thaialphabet_demo