980 Open source projects that are alternatives of or similar to neuralBlack

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

A time series signal analysis and classification framework

[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes

ML algorithm for real-time classification

High-Level Training, Data Augmentation, and Utilities for Pytorch

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

Ruby Scoring API for PMML

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

Laia: A deep learning toolkit for HTR based on Torch

Text classification meets word embeddings.

Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.

AU_Recognition based on CKPlus/CK database

Connecting Torch to StarCraft

A terminal app written in Node.js to monitor brain signals in real-time

🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

Pytorch implementation of the DeepDream computer vision algorithm

dzetsaka : classification plugin for Qgis

torch implementation of srgan

Portable set of log collection and visualization tools

Add colors to black and white images with neural networks (GANs).

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

code for unsupervised learning Neural Hidden Markov Models paper

基于Tensorflow2开发的优秀扩展包及项目

torch data augmentation toolbox (supports affine transform)

Online machine learning methods

Paperspace API for python

medium blog supplementaries | Backprop | Resnet & ResNext | RNN |

Neural conversational model in Torch

This is the baseline of Kaggle-dog-breed-classification on Python, Keras, and TensorFlow.

Setup and customize deep learning environment in seconds.

Identifies emotion(s) from user facial expressions

Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

Playing Mario with Deep Reinforcement Learning

Implementation of the paper "End to End Learning for Self-Driving Cars"

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

❔ Visual Question Answering in Torch

benchmarking miopen

Deep Learning GPU Training System

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

OctNet: Learning Deep 3D Representations at High Resolutions

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

Go package for computer vision using OpenCV 4 and beyond.

Machine Learning models from scratch with a better visualisation

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

Yet Another Neural Network Library 🤔

tensorflow object detection api helper tool ( custom object detection )

Social Signal Processing for Android

A virtual optogenetics laboratory

Dialogue Knowledge Transfer Networks (DiKTNet)

Predict the genre of a song using the Torch deep learning library

Code for NeurIPS 2019 Paper

A suite of tools for medical image processing focused on brain analysis