810 Open source projects that are alternatives of or similar to Adventures In Deep Learning

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

[CVPR2020] GhostNet: More Features from Cheap Operations

Functional programming inspired by ML for the Erlang VM

Building Convolutional Neural Networks From Scratch using NumPy

work in progress

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

The MacGraph network. An attempt to get MACnets running on graph knowledge

Deep Convolutional Neural Networks for Musical Source Separation

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

Automatic detection of plant diseases

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Visualisations for Convolutional Neural Networks in Pytorch

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

Implementation of Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) on Pytorch.

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Multi-class confusion matrix library in Python

Grakn Knowledge Graph Library (ML R&D)

CVPR2014-Convolutional neural networks for no-reference image quality assessment

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

EEG Sleep stage classification using CNN with Keras

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

A brand logo detection system using tensorflow object detection API.

Image Captioning: Implementing the Neural Image Caption Generator with python

A higher-level Neural Network library for microcontrollers.

Convolutional Neural Networks for Cardiac Segmentation

Depth estimation with neural network, and learning on RGBD images

Object classification with CIFAR-10 using transfer learning

Notes and experiments to understand deep learning concepts

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

A small and pure Numpy Convolutional Neural Network library.

Vehicle detection using YOLO in Keras runs at 21FPS

Image Tampering Detection using ELA and CNN

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

📚 机器学习基石和机器学习技法作业

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

Binary Convolution Network for faster real-time processing in ASICs

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.

Snips Python library to extract meaning from text

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

convolutional lstm implementation in pytorch

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Xilinx Deep Learning IP

CNN accelerator

Tribuo - A Java machine learning library

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Generate slow-motion videos by interpolating more frames

Handwritten Digit Recognition using Machine Learning and Deep Learning

Interactive convnet features visualization for Keras

Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".

Using Machine Learning to predict the type of exercise from movement data