Efficient, transparent deep learning in hundreds of lines of code.
Tensorflow + Molecules = TensorMol
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
A PyTorch Library for Photonic Integrated Circuit Simulation and Photonic AI Computing
A multi-channel neural network audio classifier using Keras
The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM
Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.
Examples of python neural net and ML stock prediction methods with sample stock data.
The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tas...
Neural networks race (demo)
MindMaker UE4 Machine Learning Toolkit
3D image classification using CNN (Convolutional Neural Network)
FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)
A library for Koopman Neural Operator with Pytorch.
Open Neural Network Exchange to C compiler.
Experimental tensor-typed deep learning
A simple from-scratch neural net written in Go
Packaged, Pytorch-based, easy to use, cross-platform version of the CRAFT text detector
A modern deep learning framework built to accelerate research and development of AI systems
Implementation of the paper: Text Segmentation as a Supervised Learning Task
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Visualisation tool for CNNs in pytorch
Transfer Learning library for Deep Neural Networks.
ECG classification programs based on ML/DL methods
a list of pappers in deep learning for new-comes.
An end-to-end machine learning and data mining framework on Hadoop
Neural Network in Rust
Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning
The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artifi...
ConvNet learns to play Need For Speed
A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs
My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
🧠 AI powered image tagger backed by DeepDetect
Pure C# machine learning framework
Implementing multilayer neural networks through backpropagation using Java.
A python program to detect and classify hand pose using deep learning techniques
Samples code for world class Artificial Intelligence SoCs for computer vision applications.
The pytorch code of the paper "Intrinsic Image Popularity Assessment"
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
A stable algorithm for GAN training
Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.
This is a tracking repo for all our AI projects. 🍕 🤖🍼
Text Classification through CNN, RNN & HAN using Keras
Sentence Classifications with Neural Networks
A deep learning framework created from scratch with Python and NumPy
Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN...
A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functio...