Efficient, transparent deep learning in hundreds of lines of code.
Tensorflow Object Detection Tutorial
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
Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.
Nvidia libs test
Tests and benchmarks for cudnn (and in the future, other nvidia libraries)
Simple Sh Datascience
A collection of Bash scripts and Dockerfiles to install data science Tool, Lib and application
Neural Networks in Java 8 with CuDNN and Aparapi
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
A flexible framework of neural networks for deep learning
NumPy & SciPy for GPU
GPU-accelerated Deep Learning on Windows 10 native
Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.
Script to remotely check GPU servers for free GPUs
WICWIU(What I can Create is What I Understand)
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
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
MLSpace: Hassle-free machine learning & deep learning development
Tensorflow binaries and Docker images compiled with GPU support and CPU optimizations.
pnn is Darknet compatible neural nets inference engine implemented in Rust.
A simple starting point for doing deep learning in Racket