809 Open source projects that are alternatives of or similar to Compressai

A curated list of awesome deep learning applications in the field of neurological image analysis

Data Reading Blocks for Python

Learning deep representations by mutual information estimation and maximization

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Deep Texture Encoding Network

Asynchronous Distributed Hyperparameter Optimization.

Implementation of soft dynamic time warping in pytorch

SHAInet - a pure Crystal machine learning library

Flexible general-purpose compressor with a touch of citrus

Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm

A curated list of resources for Learning with Noisy Labels

深度学习论文阅读路线图

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Small & portable byte-aligned LZ77 compression

Implementation of the Sliced Wasserstein Autoencoders

Fast inference engine for OpenNMT models

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

How to use TensorFlow

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Twig extension for compressing HTML and inline CSS/JS using WyriHaximus/HtmlCompress

Quick serialization of R objects

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Userspace tools for managing VDO volumes.

Parallel BASH commandline FLAC compressor, verifier, organizer, analyzer, and retagger

This is Andrew NG Coursera Handwritten Notes.

Modern audio compression for the internet.

Easily optimize images using WP CLI

Fast approximate vector operations

Arm Machine Learning tutorials and examples

Efficient library for manipulating zip archives

A high performance and compression ratio compressor for genomic data, powered by GTXLab of Genetalks.

NN based lossless compression

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

All DeepLearning4j projects go here.

Deep neural network to extract intelligent information from invoice documents.

Resources for deep learning with satellite & aerial imagery

PyTorch implementation of Super SloMo by Jiang et al.

PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"

Hiding Images within other images using Deep Learning

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

The CIDLib general purpose C++ development environment

Iterative Residual Network for Deep Joint Image Demosaicking and Denoising

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

ConvNets for Audio Recognition using Google Commands Dataset

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

LZ4 bindings for Python

Incremental btrfs snapshot backups with push/pull support via SSH

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

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

The Minimal LZMA (minlzma) project aims to provide a minimalistic, cross-platform, highly commented, standards-compliant C library (minlzlib) for decompressing LZMA2-encapsulated compressed data in LZMA format within an XZ container, as can be generated with Python 3.6, 7-zip, and xzutils

🍃 Using a Neural Network to improve web accessibility in JavaScript.

CardIO is a library for data science research of heart signals