98 Open Source Deep Software Projects
Free and open source deep code projects including engines, APIs, generators, and tools.
Amazon Sagemaker Examples 6455 ⭐
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Variational Autoencoder 939 ⭐
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Deep Object Diff 696 ⭐
Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️
Action Recognition Visual Attention 354 ⭐
Action recognition using soft attention based deep recurrent neural networks
Jeelizar 337 ⭐
Collectable 242 ⭐
Clone Deep 276 ⭐
Omniclone 183 ⭐
Unsuperviseddeephomographyral2018 199 ⭐
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
Neural API 128 ⭐
CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
Mixin Deep 75 ⭐
Deeply mix the properties of objects into the first object, while also mixing-in child objects.
Rankface 59 ⭐
A deep learning based model to judge the AQ, Appearance Quotient, of faces. (For Chinese Young Girls Only)
Raptorx Contact 62 ⭐
Deep residual neural network for protein contact/distance prediction developed by Xu group
Flowingsun007 Deeplearningtutorial 75 ⭐
Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!
Tensorflow Wide Deep Local Prediction 28 ⭐
This project demonstrates how to run and save predictions locally using exported tensorflow estimator model
Defaults Deep 26 ⭐
Like `extend` but recursively copies only the missing properties/values to the target object.
My Very Deep Caffe 21 ⭐
This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.
Tree Extended 26 ⭐
NodeJs make a raw text tree representation of a directory's content, with max-deep paramater.
Iou For Bounding Box Regression In Keras 21 ⭐
IOU as loss for object detection tasks and IOU as metric for object detection tasks
Tennis Multiagent 16 ⭐
This is Multi agent deep reinforcement learning repo which trains an agent to play Tennis. It trains by playing against itself.
Underscore.haz 13 ⭐
:mag: _.haz() is like _.has() but this underscore and/or lodash mixin lets you do deep object key existence checking with a dot denoted string, for example 'a.b.c'
Blendi Py 16 ⭐
A minimal Implementation of VGG16 Deep Learning Model in Python using L-BFGS to perform Image Styling/Blending
Mountaincar_dqn_rnd 22 ⭐
Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)
Differentia.js 13 ⭐
Inferno Realtime Fire Detection Using Cnns 21 ⭐
FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks
Machinelearning_nilm 22 ⭐
Undergraduate research by Yuzhe Lim in Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation
Vitorluizc Get 13 ⭐
🚚 A really small and type-safe (requires TypeScript >= 4.1.3) function, that gets a nested value from an object using a path string (like "a.b.d"). If value is 'undefined' or unreachable returns the placeholder instead.
Tsai Deepvision Eva4.0 16 ⭐
This contains the solutions to the assignments given in The School of AI - Extensive Vision AI 4.0 EVA4
Cca_zoo 66 ⭐
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
Foresttreestagging 18 ⭐
This project has the vision to assist the officials for Forest trees census and tagging each tree with proper location (latitude and longitude), tree type, and other arguments. and further had the plan to apply data analysis over-collected data.
Hebbianlearningthesis 15 ⭐
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
Optimal Textures 15 ⭐
Optimal deep texture generation and style transfer based on Eric Risser's paper
Misteli Lab Ccr Nci 11 ⭐
Collection of statistical scripts, image analysis workflows, data used in publications by the Misteli Lab.