A flexible framework of neural networks for deep learning
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Updated
Aug 28, 2023 - Python
A flexible framework of neural networks for deep learning
Introduction to Deep Neural Networks with Keras and Tensorflow
1st place solution
Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.
Efficient, transparent deep learning in hundreds of lines of code.
GPU-accelerated Deep Learning on Windows 10 native
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
Deep learning in Rust, with shape checked tensors and neural networks
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Allstate Kaggle Competition ML Capstone Project
VGG-19 deep learning model trained using ISCX 2012 IDS Dataset
OpenCV installation script with CUDA and cuDNN support
Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line
Hooked CUDA-related dynamic libraries by using automated code generation tools.
Tutorial on how to setup your system with a NVIDIA GPU and to install Deep Learning Frameworks like TensorFlow, Darknet for YOLO, Theano, and Keras; OpenCV; and NVIDIA drivers, CUDA, and cuDNN libraries on Ubuntu 16.04, 17.10 and 18.04.
Script to remotely check GPU servers for free GPUs
Lightweight turnkey solution for AI
WICWIU(What I can Create is What I Understand)
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