1094 Open source projects that are alternatives of or similar to Compression

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

Python Library for Model Interpretation/Explanations

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

OneFlow is a performance-centered and open-source deep learning framework.

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

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

A flexible, high-performance serving system for machine learning models

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Deep Learning Toolkit for Medical Image Analysis

Caffe for Sparse and Low-rank Deep Neural Networks

Data-centric declarative deep learning framework

A PyTorch library and evaluation platform for end-to-end compression research

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

An Engine-Agnostic Deep Learning Framework in Java

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

This is Andrew NG Coursera Handwritten Notes.

Arm Machine Learning tutorials and examples

Open standard for machine learning interoperability

Toolkit to Hack Your Deep Learning Models

An Open Source Machine Learning Framework for Everyone

A C library for reading, creating, and modifying zip archives.

Experimental keras implementation of novel neural network structures

This is an open sourced book on deep learning.

U-Net: Convolutional Networks for Biomedical Image Segmentation

A higher-level Neural Network library for microcontrollers.

A Scala feature transformation library for data science and machine learning

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

🚀 Build and manage real-life data science projects with ease!

RMDL: Random Multimodel Deep Learning for Classification

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

LexNLP by LexPredict

Gorgonia is a library that helps facilitate machine learning in Go.

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Predictive AI layer for existing databases.

Lizard (formerly LZ5) is an efficient compressor with very fast decompression. It achieves compression ratio that is comparable to zip/zlib and zstd/brotli (at low and medium compression levels) at decompression speed of 1000 MB/s and faster.

Keras tutorial for beginners (using TF backend)

🍟 Stanford CS229: Machine Learning

A New Optimization Technique for Deep Neural Networks

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

Writing large ZIP archives without memory inflation

Grakn Knowledge Graph Library (ML R&D)

Lossless data compression in Go

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

A user interface for Windows 10 filesystem compression

A simple integer compression library in Java

A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Deep Learning Projects that Build Themselves

Hierarchical Object Detection with Deep Reinforcement Learning

Action recognition using soft attention based deep recurrent neural networks

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

PyTorch implementation of the YOLO (You Only Look Once) v2

Deep neural models for core NLP tasks (Pytorch version)

Snips Python library to extract meaning from text

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Neural Network TensorFlow C API