807 Open source projects that are alternatives of or similar to Flops Counter.pytorch

🎨 🎨 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/

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

YOLO for object detection tasks

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Deep neural networks for predicting CpG methylation

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

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Deep Learning Projects that Build Themselves

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

Service Classification based on Service Description

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

NeuPy is a Tensorflow based python library for prototyping and building neural networks

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

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

A paper list of object detection using deep learning.

Deep neural network to extract intelligent information from invoice documents.

machine learning and deep learning tutorials, articles and other resources

Sparse and structured neural attention mechanisms

Season 2 of @twosigma's artificial intelligence programming challenge

Action recognition using soft attention based deep recurrent neural networks

Hierarchical Attention Networks for document classification

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

Implementation of Quickdraw - an online game developed by Google

Speaker independent emotion recognition

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Learn OpenCV : C++ and Python Examples

All DeepLearning4j projects go here.

List of articles related to deep learning applied to music

DeepFaceLab is the leading software for creating deepfakes.

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

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

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

The code for the MaD TwinNet. Demo page:

Deepfakes Software For All

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Voice Activity Detection based on Deep Learning & TensorFlow

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Learning Chinese Character style with conditional GAN

deeplearning.ai , By Andrew Ng, All video link

Data-centric declarative deep learning framework

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

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

Gluon to PyTorch deep neural network model converter

ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)

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

An ONNX (Open Neural Network eXchange) API and Backend for Typeful, Functional Deep Learning in Scala

Resources for deep learning with satellite & aerial imagery

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

AI開発プラットフォームKAMONOHASHI

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

基于深度学习的自动避障智能小车

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

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

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

Paper Reading