Contains the Python 3.x environment setup for PyTorch, Tensorflow and Machine/Deep Learning research and development.

"Vitis-AI-YOLOv3-TF2-Quantization-Evaluation" Repo for quantization of YOLOv3 on Vitis-AI using TF2, aimed to deploy model on edge devices with limited resources. Includes training & quantization scripts and evaluation metrics. Experiment with different configurations.

This respository is used to collect various useful scripts and programs for AI and Machine Learning.

This repository contains Docker Image files, which support the common frameworks required for Deep learning implementation. The images support both the latest GPU (Nvidia CUDA) and CPU processors.

Toolkit for the TFOD API

Personal notes on how to build TensorFlow C++ libraries on macOS

Easily Deploy your Tensorflow models to Heroku with just the click of a button!

Setting up tensorflow 2 OpenCV on Raspberry Pi 4

Docker Tensorflow 2.0-alpha0 with CPU/GPU

Installing TensorFlow 2.4.0 for Raspberry Pi3+/4 (Debian Buster)

Build TensorFlow Addons for ARM on the Raspberry Pi

tensorflor 2.1 wheel for pynq z2 ( zynq 7000 xilinx SoC ), cross compiled with different compiler's flags using the script provided by tensorflow for building it for rasberry

Tensorflow for Jetson AGX Xavier