Topic: deep-learning-library Goto Github
Some thing interesting about deep-learning-library
Some thing interesting about deep-learning-library
deep-learning-library,Python libraries for the Voice Conversion TFG
User: albertaparicio
deep-learning-library,Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.
User: arthurdjn
deep-learning-library,A lightweight deep learning library
User: borgwang
deep-learning-library,A deep learning library created from scratch
User: caff1982
deep-learning-library,Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)
User: cbaziotis
deep-learning-library,N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.
Organization: cea-list
deep-learning-library,InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.
User: chncwang
deep-learning-library,ToeffiPy is a PyTorch like autograd/deep learning library based only on NumPy.
User: christophreich1996
deep-learning-library,A light weight deep learning framework, on top of Theano, offering better balance between flexibility and abstraction
User: david-leon
Home Page: https://david-leon.github.io/Dandelion/
deep-learning-library,TorchHandle makes your PyTorch development more efficient and make you use PyTorch more comfortable
Organization: deephub-ai
deep-learning-library,Demitasse: SPMD Programing Implementation of Deep Neural Network Library for Mobile Devices(NeurIPS2016WS)
Organization: densoitlab
deep-learning-library,以jax为后端的类似keras的框架
User: duyongan
deep-learning-library,A keras-like API deep learning framework,realized by Numpy only.Support CNN, RNN, LSTM, Dense, etc.
User: e1evenn
deep-learning-library,An Educational Framework Based on PyTorch for Deep Learning Education and Exploration
User: emperor-ws
deep-learning-library,A minimal Deep learning library for the web.
User: generic-matrix
deep-learning-library,A new CNN Framwork Implemented from scratch by using C++
User: guicunbin
deep-learning-library,Demo on Convolutional Neural Networks using Keras/Tensorflow on the MNIST dataset for HackBU on 11/9/17
Organization: hackbinghamtonarchives
deep-learning-library,It is my graduation project. Aim of this project is recognizing different types of grocery products with using convolutional neural networks. Dataset is generated by myself, data augmentation techniques and deep learning methods are used in this work. In order to make it more user friendly, I created a web application to upload the images and show name of the products to user. In this study Python, Jupyter Notebook, Flask, Html, CSS and deep learning libraries are used.
User: honourhealth
deep-learning-library,Tiny and elegant deep learning library
User: kaszperro
deep-learning-library,Artificial Neural Network Interface Engine
User: kmc7468
deep-learning-library,Lightweight library to build and train neural networks in Theano
Organization: lasagne
Home Page: http://lasagne.readthedocs.org/
deep-learning-library,This is the implementation repository of our ICSE'22 paper: Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.
User: library-testing
deep-learning-library,Flow-based data pre-processing for deep learning
User: maet3608
deep-learning-library,auto_labeler - An all-in-one library to automatically label vision data
User: mailcorahul
deep-learning-library,An Infant Library of Artificial Neural Network (multilayer-deep-convolutional-machine-learning)
User: minhaskamal
Home Page: http://minhaskamal.github.io/Intellectron
deep-learning-library,Deep learning library, new to everything!
User: mishazakharov
Home Page: https://vk.com/rtyyu
deep-learning-library,Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.
User: mrdvince
deep-learning-library,SemiFlow is a deep learning framework with automatic differentiation and automatic shape inference, developing from Numpy. 一个基于Numpy支持自动求导的深度学习框架
User: nanguoyu
Home Page: https://www.nanguoyu.com/category/personal-projects/semiflow
deep-learning-library,Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Organization: neuralmagic
deep-learning-library,CUDA Templates for Linear Algebra Subroutines
Organization: nvidia
deep-learning-library,A tensorflow batteries included kit to write tensorflow networks from scratch or use existing ones.
User: penguinmenac3
deep-learning-library,Library for learning and inference with Sum-product Networks
User: pronobis
deep-learning-library,The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
User: ritchieng
deep-learning-library,Neural network from scratch in Python using Numpy
User: rvinas
deep-learning-library,LAVIS - A One-stop Library for Language-Vision Intelligence
Organization: salesforce
deep-learning-library,Neural network library for distributed deep learning
User: saran-sankar
deep-learning-library,Keras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of running on top of TensorFlow, CNTK, or Theano.
Organization: scisharp
deep-learning-library,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
Organization: sforaidl
Home Page: https://kd-lib.readthedocs.io/
deep-learning-library,In this repository, I will keep my all Deep Learning project implementations.
User: shsarv
deep-learning-library,A collection of all projects pertaining to different layers in the SDC software stack
User: sidroopdaska
deep-learning-library,Manipulate tensors with PackedSequence and CattedSequence
User: speedcell4
deep-learning-library,C# library for easy Deep Learning and Deep Reinforcement Learning. It is wrapper over C# CNTK API. Has implementation of layers (LSTM, Convolution etc.), optimizers, losses, shortcut-connections, sequential model, sequential multi-output model, agent teachers, policy gradients, actor-critic etc. Contains helpers for work with dataset (split, statistics, SMOTE etc). Allows train, evaluate and inference deep neural networks in style similar to Keras.
User: stanislavgrigoriev
deep-learning-library,The Cutest Deep Learning Framework which is also a wonderful Declarative Language
User: tariqdaouda
Home Page: http://www.tariqdaouda.com
deep-learning-library,This tutorial provide a step-by-step pipeline to install an effective Python set-up optimized for deep learning for Ubuntu LTS, containing libraries to use efficiently the last versions of Tensorflow and Pytorch with the GPU and a comfortable environment of work with flexible and highly customizable IDE (VSCode) and environment manager (Virtualenv/VirtualenvWrapper).
User: valentingol
deep-learning-library,VQA - Visual Question Answering
User: vedantyadav
deep-learning-library,Machine Learning Practical Course Code Repository
User: vico-uoe
deep-learning-library,Neural Network in pure PHP
User: vivesweb
deep-learning-library,Vortex (Virtual Cortex) Neural Network / Deep learning library
Organization: void-intelligence
deep-learning-library,Deep Learning Package based on TensorFlow.
User: yeonghyeon
deep-learning-library,轻量、易于修改、可组层训练的神经网络 / Lightweight Greedy Layer-Wise Training Neural Network
User: zsdonghao
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.