GPU accelerated deep learning and numeric computing for Scala 3.
Easily convert RGB video data (e.g. .avi) to the TensorFlow tfrecords file format for training e.g. a NN in TensorFlow. This implementation allows to...
Deploy YOLOv5 in your web browser with ncnn and webassembly
Optimal Control Strategies on Cart-pole System in Simscape Multibody Simulation
Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)
Article and source code reference to construct a C++ neural network in a weekend without any dependencies
:dolls: InfoGAN: Interpretable Representation Learning
A simple machine learning framework written in Swift 🤖
Acuity Model Zoo
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
Elastic weight consolidation technique for incremental learning.
A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"
A Python package for identifying hundreds of kinds of animals, training custom models, and estimating distance from camera trap videos and images
Single Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Searched models bet...
.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models i...
Implementation of BTree part for paper 'The Case for Learned Index Structures'
Final Project for AI Wireless
Each week I create sketches covering key Computer Vision concepts. If you want to learn more about CV stick around!
PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi
Automated Driving in NFS using CNN.
Generating paper titles (and more!) with GPT trained on data scraped from arXiv.
[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
pytorch neural network attention mechanism
Evolving simple organisms using a genetic algorithm and deep learning from scratch with python
Your Private Companion. The future AGI takeover starts here!
Hum2Song: Multi-track Polyphonic Music Generation from Voice Melody Transcription with Neural Networks
[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Design pattern for critical stages in the development process of an AI Stock Trading Bot
A header-only neural network library for microcontrollers, with partial bare-metal & native-os support.
Bayesian Nonparametric Federated Learning of Neural Networks
The ATOM Modeling PipeLine (AMPL) is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug d...
A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning and classical machine learning in Scala 3
command line neural network
Representation learning on large graphs using stochastic graph convolutions.
Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
Simulator optimized for large scale neural network simulations.
Neural network parametrized objective to disentangle and transfer style and content in text
Neural Network Verification Software Tool https://www.verivital.com Documentation:
repo that holds code for improving on dropout using Stochastic Delta Rule
An interesting display of evolution through neural networks and a genetic algorithm
Kalman Variational Auto-Encoder
OKAI - An Interactive Introduction to Artificial Intelligence (AI)
Uses neural networks to extract chess positions from images
TinyTensor is a tool for running already trained NN (Neural Network) models to be able to use them for inference of various tasks such as image classi...
Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断,神经逻辑,强人工智能逻辑推理前沿领域。
Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neural machine tra...