Code for testing various M1 Chip benchmarks with TensorFlow.
-
Updated
Apr 4, 2024 - Jupyter Notebook
#
tensorflow-macos
Here are 6 public repositories matching this topic...
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
computer-vision tensorflow segmentation fcn image-segmentation unet semantic-segmentation deeplab pspnet fpn segmentation-model segmentation-models hrnet danet ocnet cfnet acfnet ocrnet tensorflow-macos
-
Updated
May 1, 2023 - Python
This Repo will provide TensorFlow libraries and extended build tutorials that require compilation to build, as well as pre-compiled wheel files.
-
Updated
Jun 29, 2026
This repository provides a guide for installing TensorFlow and PyTorch on Mac computers with Apple Silicon.
-
Updated
Dec 21, 2023 - Jupyter Notebook
This stock prediction application utilizes machine learning techniques, specifically employing Keras, and LSTM model, integrated within the Django framework. It forecasts future stock prices by analyzing 100-day and 200-day moving averages, essential indicators widely used by stock analysts to inform trading and investment decisions.
django reactjs serializer rest-api numpy scikit-learn django-rest-framework keras jupyter-notebook pandas python3 axios matplotlib miniconda pyplot react-fontawesome axios-interceptor yfinance tensorflow-macos django-rest-framework-simplejwt
-
Updated
Sep 23, 2025 - Jupyter Notebook
Enable multi-protocol NFC, RFID, Bluetooth, WiFi, and more on STM32H5 devices with the M1 firmware for versatile connectivity and control
docker iot arduino sql fpga responsive gps arduino-ide cellular arm64 gnss m1 vivado-installer m1-macbook tensorflow-macos llm minimax-m1
-
Updated
Feb 28, 2026
Add this topic to your repo
To associate your repository with the tensorflow-macos topic, visit your repo's landing page and select "manage topics."