65 Open source projects that are alternatives of or similar to trident

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)

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

Convolutional (Patch) Networks for Semantic Segmentation

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

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

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

Implementation details for EDANet

CNN visualization tool in TensorFlow

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

High-quality Neural Networks for Computer Vision 😎

Keras tutorial for beginners (using TF backend)

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

A convolutional neural network from scratch

Image colorization using CNNs in tensorflow

Paper Lists for Graph Neural Networks

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

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

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

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

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

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

Self driving car in GTAV with Deep Learning

U-Net: Convolutional Networks for Biomedical Image Segmentation

Spatial Pyramid Network for Optical Flow

Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"

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)

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

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).

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

Object classification with CIFAR-10 using transfer learning

PyTorch implementation of several SSD based object detection algorithms.

Introduction to deep learning with Tensorflow.

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

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

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.

🎨 🎨 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/

A playable implementation of Fully Convolutional Networks with Keras.

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Simple implementation of the LSUV initialization in keras

Image Captioning: Implementing the Neural Image Caption Generator with python

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

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Simple implementation of the LSUV initialization in PyTorch

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

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

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

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

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

Image Deblurring using Generative Adversarial Networks

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

No description or website provided.

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

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

📚 记录一些自己读过的论文与笔记

Paper Lists for Graph Neural Networks

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

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"