A flexible framework of neural networks for deep learning
The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
GPU-accelerated Deep Learning on Windows 10 native
Script to remotely check GPU servers for free GPUs
Lightweight turnkey solution for AI
Social Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement
Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.
Image recognition and classification using Convolutional Neural Networks with TensorFlow
Set up CI in DL/ cuda/ cudnn/ TensorRT/ onnx2trt/ onnxruntime/ onnxsim/ Pytorch/ Triton-Inference-Server/ Bazel/ Tesseract/ PaddleOCR/ NVIDIA-docker/ minIO/ Supervisord on AGX or PC from scratch.
TensorFlow installation on windows10 CUDA and cudnn
[IJCNLP 2017 - Accepted] Multi-tasking deep learning framework that achieves state-of-the-art results in sentiment analysis, topic prediction, and hashtag recommendation.
Interactive Automatic GPU Manager
TensorFlow Addons installation wheels for Jetson Nano
Training Using Multiple GPUs
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