65 Open source projects that are alternatives of or similar to Eye Tracker

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Self driving car in GTAV with Deep Learning

Fully Convlutional Neural Networks for state-of-the-art time series classification

Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

CNN visualization tool in TensorFlow

Image colorization using CNNs in tensorflow

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Keras tutorial for beginners (using TF backend)

Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18

Naszilla is a Python library for neural architecture search (NAS)

Learning Based Calibrated Photometric Stereo for Non-Lambertian Surface (ECCV 2018)

📚 记录一些自己读过的论文与笔记

Paper Lists for Graph Neural Networks

Paper Lists for Graph Neural Networks

Evaluation of the CNN design choices performance on ImageNet-2012.

Implementation details for EDANet

A convolutional neural network from scratch

Implementation of "EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition, ICCV, 2019" in PyTorch

U-Net: Convolutional Networks for Biomedical Image Segmentation

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

doing audio digital signal processing in tensorflow to try to recreate digital audio effects

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

Curated Tensorflow code resources to help you get started with Deep Learning.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Repository has been moved: https://github.com/adobe/antialiased-cnns

Image Captioning: Implementing the Neural Image Caption Generator with python

Make pytorch and tensorflow two become one.

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Simple implementation of the LSUV initialization in keras

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Introduction to deep learning with Tensorflow.

Object classification with CIFAR-10 using transfer learning

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

TensorFlow implementation of DispNet by Zhijian Jiang.

A self driving toy car using end-to-end learning

Simple implementation of the LSUV initialization in PyTorch

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

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Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

🎨 🎨 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/

PyTorch implementation of several SSD based object detection algorithms.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

A playable implementation of Fully Convolutional Networks with Keras.

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)

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Differentiable architecture search for convolutional and recurrent networks

High-quality Neural Networks for Computer Vision 😎

Convolutional (Patch) Networks for Semantic Segmentation

Reference caffe implementation of LSUV initialization

This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

Outdated, see new https://github.com/braindecode/braindecode