514 Open source projects that are alternatives of or similar to Lasagne

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

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Keras community contributions

Deep Reinforcement Learning for Keras.

This toolbox is support material for the book on CNN (http://www.convolution.network).

A light weight deep learning framework, on top of Theano, offering better balance between flexibility and abstraction

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

Deep learning driven jazz generation using Keras & Theano!

Neural network visualization toolkit for keras

🔬 Nano size Theano LSTM module

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Neural networks training pipeline based on PyTorch

Reimplementation of DRAW

OCR engine for all the languages

Keras tutorial for beginners (using TF backend)

Segmentation models with pretrained backbones. PyTorch.

Plain python implementations of basic machine learning algorithms

Deep Reinforcement Learning library for humans

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

Purely functional artificial neural network library implemented in Haskell.

Run TensorFlow models in C++ without installation and without Bazel

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

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

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

Mobile AI Compute Engine Model Zoo

pytorch 包教不包会

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

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

InceptionTime: Finding AlexNet for Time Series Classification

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

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

Grokking Deep Reinforcement Learning

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Python implementation of soft-DTW.

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

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

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

Machine Learning Practical course repository

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

DEPRECATED: Depth Map Estimation from Monocular Images

Repo for the Deep Reinforcement Learning Nanodegree program

The RWTH extensible training framework for universal recurrent neural networks

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

Tensors and differentiable operations (like TensorFlow) in Rust

How to use TensorLayer

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Deep Learning Computer Vision Algorithms for Real-World Use

A curated list of awesome Distributed Deep Learning resources.

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

an Open Course Platform for Stanford CS224n (2020 Winter)

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

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

RLgraph: Modular computation graphs for deep reinforcement learning

Relax! Flux is the ML library that doesn't make you tensor

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Interactive Notation for Computational Graphs

Deep Neural Network for Sentiment Analysis on Twitter

Brevitas: quantization-aware training in PyTorch