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

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

ImageNet pre-trained models with batch normalization for the Caffe framework

An easy to use C# deep learning library with CUDA/OpenCL support

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

Purely functional artificial neural network library implemented in Haskell.

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

InceptionTime: Finding AlexNet for Time Series Classification

PyTorch implementation of PNASNet-5 on ImageNet

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

Experiments with Mobile

Lightweight library to build and train neural networks in Theano

A light-weight, power efficient, and general purpose convolutional neural network

C# Yolo Darknet Wrapper (real-time object detection)

OCR engine for all the languages

Grokking Deep Reinforcement Learning

Tensorflow implementation of CycleGAN

RMDL: Random Multimodel Deep Learning for Classification

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Python implementation of soft-DTW.

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

🔥 Reproducibly benchmarking Keras and PyTorch models

Comparison of famous convolutional neural network models

An extension of Open3D to address 3D Machine Learning tasks

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

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

an Open Course Platform for Stanford CS224n (2020 Winter)

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

Machine Learning Practical course repository

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

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

detect stages in video automatically

DEPRECATED: Depth Map Estimation from Monocular Images

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

AutoGluon: AutoML for Text, Image, and Tabular Data

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

A higher-level Neural Network library for microcontrollers.

Dataset of images of trash; Torch-based CNN for garbage image classification

Machine learning for C# .Net

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

Spleeter is Deezer source separation library with pretrained models written in Python and uses Tensorflow. It makes it easy to train source separation model (assuming you have a dataset of isolated sources), and provides already trained state of the art model for performing various flavour of separation :

Contains my explorations of TensorFlow 2.x

Plain python implementations of basic machine learning algorithms

High-quality implementations of standard and SOTA methods on a variety of tasks.

InceptionV3, InceptionV4, Inception-Resnet pretrained models for Torch7 and PyTorch