1230 Open source projects that are alternatives of or similar to Autoclint

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Lightwood is Legos for Machine Learning.

CNN 1D vs 2D audio classification

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Sign Language Recognition for Deaf People

A Keras Implementation of "A Neural Algorithm of Artistic Style"

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

Important paper implementations for Question Answering using PyTorch

Repository for Region Ensemble Network based Hand Pose Estimation

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

A tensorflow implementation for EEGLearn

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

sentiment analysis、文本分类、ALBERT、TextCNN、classification、tensorflow、BERT、CNN、text classification

FPGA Accelerator for CNN using Vivado HLS

Fever screening with IR & RGB cameras and Deep CNNs

A Neural Networking library based on NumPy only

Pytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Vehicle make and model classification in Tensorflow by fine-tuning VGG16

💳 Detecting the National Identification Cards with Deep Learning (Faster R-CNN)

keras theano 验证码破解 字母+数字

Timeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

Train a TensorFlow model on Kubernetes to recognize art culture based on the collection from the Metropolitan Museum of Art

Text classification models. Used a submodule for other projects.

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

An Open Source Deep Learning Inference Engine Based on FPGA

The implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].

Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

a collection of my notes on deep learning

Weakly Supervised Deep Detection Networks (CVPR 2016)

EEG Sleep stage classification using CNN with Keras

小帅一点资讯微信小程序图像识别源码，微信小程序百度AI接口源码，微信小程序图片上传显示缩放缩略图,人工智能，图像识别，人脸颜值分析，植物、动物、车型、LOGO、食材、手写文字识别等

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

Image Captioning: Implementing the Neural Image Caption Generator with python

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

pytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

use cnn recognize captcha by tensorflow. 本项目针对字符型图片验证码，使用tensorflow实现卷积神经网络，进行验证码识别。

Depth estimation with neural network, and learning on RGBD images

The deeplearning algorithms implemented by tensorflow

Diseases Detection from NIH Chest X-ray data

generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset

SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷

S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017, Spotlight

easy convolution neural network

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)