Deep Reinforcement Learning for Keras.
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NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Build Graph Nets in Tensorflow
- graph-networks
- graphs
- deep-learning
- neural-networks
A PyTorch Library for Accelerating 3D Deep Learning Research
- pytorch
- 3d-deep-learning
- neural-networks
- differentiable-rendering
Image augmentation library in Python for machine learning.
- augmentation
- machine-learning
- deep-learning
- neural-networks
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
Run Keras models in the browser, with GPU support using WebGL
A collection of important graph embedding, classification and representation learning papers with implementations.
- graph2vec
- classification-algorithm
- graph-kernels
- weisfeiler-lehman
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A unified, comprehensive and efficient recommendation library
- recommender-systems
- collaborative-filtering
- knowledge-graph
- ctr-prediction
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
- traffic
- simulation
- transport
A curated list of awesome network analysis resources.
- network-analysis
- network-visualization
- complex-networks
- political-networks
Interactive Image Generation via Generative Adversarial Networks
- generative-adversarial-network
- image-manipulation
- computer-graphics
- computer-vision
Lightweight library to build and train neural networks in Theano
- deep-learning-library
- neural-networks
- python
- theano
A best practice for tensorflow project template architecture.
- tesnorflow
- software-engineering
- oop
- deep-learning
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
- caffe
- colorization
- automatic-colorization
- deep-learning
Python Toolkit for Causal and Probabilistic Reasoning
- python
- bayesian-networks
- causal-inference
- causal-discovery
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
StellarGraph - Machine Learning on Graphs
- graphs
- machine-learning
- machine-learning-algorithms
- graph-convolutional-networks