569 Open source projects that are alternatives of or similar to Squeezeseg

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

RMDL: Random Multimodel Deep Learning for Classification

A reinforcement learning environment for self-driving cars in the browser.

Code for reproducing Manifold Mixup results (ICML 2019)

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

The Tensor Algebra SuperOptimizer for Deep Learning

A Thai word tokenization library using Deep Neural Network

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

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A curated list of awesome deep vision web demo

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

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Tensorflow Implementation of Yahoo's Open NSFW Model

Experimental keras implementation of novel neural network structures

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Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

⏰ AI conference deadline countdowns

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

AI 尬舞机

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Hierarchical Object Detection with Deep Reinforcement Learning

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

Papers for deep neural network compression and acceleration

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

无人驾驶的资源列表中文版

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

APM Planner Ground Control Station (Qt)

Caffe for Sparse and Low-rank Deep Neural Networks

A pytorch adversarial library for attack and defense methods on images and graphs

Machine Learning Environment - alpha version

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

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

An open autonomous driving platform

MATLAB sample codes for mobile robot navigation

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

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

This is an open sourced book on deep learning.

ByteNet for character-level language modelling

Data compression in TensorFlow

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

U-Net: Convolutional Networks for Biomedical Image Segmentation

VDSR (CVPR2016) pytorch implementation

A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

Keras tutorial for beginners (using TF backend)

YOLO for object detection tasks

A New Optimization Technique for Deep Neural Networks

Deep Reinforcement Learning library for humans

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Deep neural models for core NLP tasks (Pytorch version)

Implementation of Papers on Adversarial Examples

Deep Learning Projects that Build Themselves

TensorFlow documentation

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

PyTorch implementation of the YOLO (You Only Look Once) v2

This is the source code of the feasibility study for Autoware architecture proposal.