1158 Open source projects that are alternatives of or similar to Neural Backed Decision Trees

A reproduction of growing neural cellular automata using PyTorch.

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Learn to Build a Machine Learning Application from Top Articles

Listing my favorite research papers 📝 from different fields as I read them.

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

NSFW classify model implemented with tensorflow.

Dilated CNNs for NER in TensorFlow

Code for "A-NICE-MC: Adversarial Training for MCMC"

One-click image sorting/labelling script

Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.

Jupyter notebooks used as supporting material for an msc thesis about personalised aesthetic assessment using residual adapters.

Distributed Deep learning with Keras & Spark

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Automatic Differentiation Library for Computational and Mathematical Engineering

🔥 Reproducibly benchmarking Keras and PyTorch models

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

ROS2 nodes for computer vision tasks in Tensorflow

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Easy Image Classification with TensorFlow

End-To-End Molecular Dynamics (MD) Engine using PyTorch

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

An extension of Open3D to address 3D Machine Learning tasks

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

🦷 Detection of restorations and treatments on dental x-rays in Tensorflow, using Faster-RCNN

Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)

🚗 🏎️ 🎮 online 3D multiplayer neural networks based racing game

Training Low-bits DNNs with Stochastic Quantization

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

Sarcasm detection on tweets using neural network

MAINTAINER WANTED -- Decode embedded EXIF meta data from image files written in Pure Golang

An Echo State Network module for PyTorch.

about how to use stagesepx in production

Face Attribute Prediction on CelebA benchmark with PyTorch Implementation

this is roberta wwm base distilled model which was distilled from roberta wwm by roberta wwm large

A list of papers and other resources on deep learning with anime style images.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

An Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

Awesome list of software that I use to do research in medical imaging.

Towards Understanding Deep Learning Representations via Interactive Experimentation

A simple JavaScript neural network framework.

Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

Pharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

TensorFlow-based neural network library

A tutorial series by Preferred.AI

brief introduction to Python for neural networks

Player detection and ball detection in football matches using image processing(opencv).

A library for transfer learning by reusing parts of TensorFlow models.

Building a Neural Network that classifies faces using OpenCV and Tensorflow

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)

End-to-end training of sparse deep neural networks with little-to-no performance loss.

How to use TensorLayer

A Harder ImageNet Test Set (CVPR 2021)