920 Open source projects that are alternatives of or similar to Sdr Densenet Pytorch

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

Season 2 of @twosigma's artificial intelligence programming challenge

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

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

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

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

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

Lets Learn AI

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

repo that holds code for improving on dropout using Stochastic Delta Rule

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

Android TensorFlow Lite Machine Learning Example

Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Pytorch implementation of the DeepDream computer vision algorithm

Obtain power spectrum from SoapySDR devices (RTL-SDR, Airspy, SDRplay, HackRF, bladeRF, USRP, LimeSDR, etc.)

💡My Solution to Facial Emotion Recognization in Kaggle competition

A repo with tutorials for algorithms from scratch

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

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

One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits.

Breast Cancer Classification using CNN and transfer learning

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

VDL Mode 2 message decoder and protocol analyzer

This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".

Software Defined Radio Demodulation and Decoding Tools

Deep Learning Toolkit for Medical Image Analysis

Mapping a variable-length sentence to a fixed-length vector using BERT model

PyTorch tutorial for learners

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

Deep Learning in Haskell

Top 200 deep learning Github repositories sorted by the number of stars.

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

An open source 3GPP LTE implementation.

The code for the MaD TwinNet. Demo page:

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Makine Öğrenmesi Türkçe Kaynak

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

A neural network toolkit for Metal

Data Reading Blocks for Python

A simply budget app that predicts where the expenses are being made

nGraph has moved to OpenVINO

R package to interface with OpenML

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the resources I found most useful.

Flops counter for convolutional networks in pytorch framework

Deep Texture Encoding Network

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

Perform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Deep learning based denoiser for Cycles, Blender's physically-based production renderer.

Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, ST and CITE-seq).

Readsb is a Mode-S/ADSB/TIS decoder for RTLSDR, BladeRF, Modes-Beast and GNS5894 devices.