541 Open source projects that are alternatives of or similar to Deep-Learning-Models

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

Reference code for the paper "Learning Multi-Scale Photo Exposure Correction", CVPR 2021.

Implementation of key concepts of neuralnetwork via numpy

Learning human driver models from NGSIM data with imitation learning.

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

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

Taking the O out of ORM.

SpecGAN - generate audio with adversarial training

Models and Collections for Vue

DenseNet3D Model In "LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild", https://arxiv.org/abs/1810.06990

This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Coolie(苦力) helps you to create models (& their constructors) from a JSON file.

capsule networks that achieves outstanding performance on the German traffic sign dataset

Deep Learning Based Android Malware Detection Framework

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Neural network base on c++14, support any number of layers 基于C++14元编程的深度学习神经网络模板类，支持任意层数

Introduction to Deep Learning: Chainer Tutorials

An implementation of skip-thought vectors in Tensorflow

A vector tile, terrain and city 3d model builder and exporter

数据挖掘开源书

No description or website provided.

基于Andrew Ng DeepLearning.ai课程的学习笔记

🌌 The R easystats-project

基于深度学习的自动避障智能小车

Jupyter notebook series for machine learning and deep learning.

Tutorials and my solutions to the Udacity NLP Nanodegree

A collection of pre-trained, state-of-the-art models in the ONNX format

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

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Paper Reading

Segmentation models with pretrained backbones. PyTorch.

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …

把极速检测器的门槛给我打下来make lightweight caffe-ssd great again

Tiny framework for building models with the event sourcing pattern (events and snapshots).

Deep Learning over PyTorch

(WIP)The deployment framework aims to provide a simple, lightweight, fast integrated, pipelined deployment framework for algorithm service that ensures reliability, high concurrency and scalability of services.

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

Training framework & tools for PyTorch-based machine learning projects.

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

3D scene graph generator implemented in Pytorch.

Multi-class confusion matrix library in Python

CK repository with components and automation actions to enable portable workflows across diverse platforms including Linux, Windows, MacOS and Android. It includes software detection plugins and meta packages (code, data sets, models, scripts, etc) with the possibility of multiple versions to co-exist in a user or system environment:

Python tutorials as Jupyter Notebooks for NLP, ML, AI

The collaboration workspace for Machine Learning

🤘 awesome-semantic-segmentation

Traits for laravel eloquent models

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

Vue.js example application (server-side rendering, router, vuex store, form validation, i18n & l10n)

Visualisation for statistical models.

Run keras models with a Flux backend

🤖 PyTorch toolkit for biomedical imaging ❤️

Tensorflow implementation of the Restricted Boltzmann Machine

My AI security testing projects

Type4Py: Deep Similarity Learning-Based Type Inference for Python

ORM-less for Knex

Self-validating, secure and smart models for Laravel's Eloquent ORM

A unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model