528 Open source projects that are alternatives of or similar to Graffitist

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Fast inference engine for OpenNMT models

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

Embedded and mobile deep learning research resources

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.

TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.

Deep neural networks for predicting CpG methylation

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

Keras Interface for Kaldi ASR

Masking GAN - Image attribute mask generation

This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.

Credit card fraud detection through logistic regression, k-means, and deep learning.

Programmable Neural Network Compression

A weekly workshop series at ITP to teach machine learning with a focus on deep learning

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

An Open Source Deep Learning Inference Engine Based on FPGA

Repository for different network models related to flow/disparity (ECCV 18)

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

An intelligent multimodal-learning based system for video, product and ads analysis. Based on the system, people can build a lot of downstream applications such as product recommendation, video retrieval, etc.

A paper list of object detection using deep learning.

Open Source, Cloud Native, RESTful Search Engine Powered by Neural Networks

LPIPS metric. pip install lpips

A collection of all projects pertaining to different layers in the SDC software stack

MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images

A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

A PyTorch implementation of OpenAI's REPTILE algorithm

Collections of model quantization algorithms

MONeT framework for reducing memory consumption of DNN training

Open standard for machine learning interoperability

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

Deep Learning-based Voice Conversion system

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

Tiny and elegant deep learning library

SWA Object Detection

VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

A general, modular, and programmable architecture search framework

Chinese Speech To Text Using Wavenet

Making neural networks more interpretable, for research and art 🔎 💻 :brain: 🎨

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Deepfakes Software For All

Code for Pointwise Convolutional Neural Networks, CVPR 2018

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

Video to Text: Generates description in natural language for given video (Video Captioning)

Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.

Code for reproducing ICT ( published in IJCAI 2019)

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

convolutional lstm implementation in pytorch

Trains a model, then generates a complete Xcode project that uses it - no code necessary

Open Toolkit for Painless Object Detection

A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

PyTorch implementation of LeNet-5 with live visualization