Efficient Segmentation NetworksLightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
Stars: ✭ 579 (-68.17%)
DSegInvariant Superpixel Features for Object Detection
Stars: ✭ 18 (-99.01%)
PytorchnlpbookCode and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
Stars: ✭ 1,390 (-23.58%)
BlenderprocA procedural Blender pipeline for photorealistic training image generation
Stars: ✭ 575 (-68.39%)
Deeplabv3 PlusTensorflow 2.3.0 implementation of DeepLabV3-Plus
Stars: ✭ 32 (-98.24%)
Indian ParallelCorpusCurated list of publicly available parallel corpus for Indian Languages
Stars: ✭ 23 (-98.74%)
LEDNetThis is an unofficial implemention of LEDNet https://arxiv.org/abs/1905.02423
Stars: ✭ 37 (-97.97%)
Lang RepsCode accompanying our EMNLP paper Learning Language Representations for Typology Prediction
Stars: ✭ 75 (-95.88%)
UCTransNetImplementation of our AAAI'22 work: 'UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer'.
Stars: ✭ 132 (-92.74%)
Seq2seqMinimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
Stars: ✭ 552 (-69.65%)
Cam2bevTensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
Stars: ✭ 129 (-92.91%)
MONAILabelMONAI Label is an intelligent open source image labeling and learning tool.
Stars: ✭ 249 (-86.31%)
Quicknat pytorchPyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Stars: ✭ 74 (-95.93%)
SentencepieceUnsupervised text tokenizer for Neural Network-based text generation.
Stars: ✭ 5,540 (+204.56%)
Openseq2seqToolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Stars: ✭ 1,378 (-24.24%)
PyTorch-UNetPyTorch Implementation for Segmentation and Saliency Prediction
Stars: ✭ 21 (-98.85%)
NLP ToolkitLibrary of state-of-the-art models (PyTorch) for NLP tasks
Stars: ✭ 92 (-94.94%)
Superpoint graphLarge-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Stars: ✭ 533 (-70.7%)
ChatlearnerA chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
Stars: ✭ 528 (-70.97%)
OpenvehiclevisionAn opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation
Stars: ✭ 120 (-93.4%)
MasktrackImplementation of MaskTrack method which is the baseline of several state-of-the-art video object segmentation methods in Pytorch
Stars: ✭ 110 (-93.95%)
Pytorch ToolbeltPyTorch extensions for fast R&D prototyping and Kaggle farming
Stars: ✭ 942 (-48.21%)
LSDNNA robust laser stripe extraction method for structured-light vision sensing
Stars: ✭ 17 (-99.07%)
hair-dyeNeural Network for Dying Hair💈
Stars: ✭ 45 (-97.53%)
Seq2seq.pytorchSequence-to-Sequence learning using PyTorch
Stars: ✭ 514 (-71.74%)
ilmultiTooling to play around with multilingual machine translation for Indian Languages.
Stars: ✭ 19 (-98.96%)
Deep SegmentationCNNs for semantic segmentation using Keras library
Stars: ✭ 69 (-96.21%)
Face segmentationDeep face segmentation in extremely hard conditions
Stars: ✭ 510 (-71.96%)
Point2SequencePoint2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Stars: ✭ 34 (-98.13%)
Pytorch nmtA neural machine translation model in PyTorch
Stars: ✭ 100 (-94.5%)
DeepSegmentorSequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)
Stars: ✭ 17 (-99.07%)
nicMSlesionsEasy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.
Stars: ✭ 33 (-98.19%)
Torch Points3dPytorch framework for doing deep learning on point clouds.
Stars: ✭ 1,135 (-37.6%)
Argos TranslateOpen source neural machine translation in Python. Designed to be used either as a Python library or desktop application. Uses OpenNMT for translations and PyQt for GUI.
Stars: ✭ 475 (-73.89%)
Fast-SCNN pytorchA PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)
Stars: ✭ 30 (-98.35%)
AttentionGatedVNet3DAttention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge
Stars: ✭ 35 (-98.08%)
Attn2dPervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
Stars: ✭ 475 (-73.89%)
Brain-MRI-SegmentationSmart India Hackathon 2019 project given by the Department of Atomic Energy
Stars: ✭ 29 (-98.41%)
PointcnnPointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Stars: ✭ 1,120 (-38.43%)
minimal-nmtA minimal nmt example to serve as an seq2seq+attention reference.
Stars: ✭ 36 (-98.02%)
Alfredalfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046
Stars: ✭ 460 (-74.71%)
wasr networkWaSR Segmentation Network for Unmanned Surface Vehicles v0.5
Stars: ✭ 32 (-98.24%)
DatasetCrop/Weed Field Image Dataset
Stars: ✭ 98 (-94.61%)
ArabicProcessingCogA Python package that do stemming, tokenization, sentence breaking, segmentation, normalization, POS tagging for Arabic language.
Stars: ✭ 19 (-98.96%)
WitwickyWitwicky: An implementation of Transformer in PyTorch.
Stars: ✭ 21 (-98.85%)
Caffe ModelCaffe models (including classification, detection and segmentation) and deploy files for famouse networks
Stars: ✭ 1,258 (-30.84%)
KittisegA Kitti Road Segmentation model implemented in tensorflow.
Stars: ✭ 873 (-52.01%)
dilation-kerasMulti-Scale Context Aggregation by Dilated Convolutions in Keras.
Stars: ✭ 72 (-96.04%)
cellcountA Convolutional Neural Network for Segmenting and Counting Cells in Microscopy Images
Stars: ✭ 51 (-97.2%)
NmtNeural Machine Translation with RNN/ConvS2S/Transoformer
Stars: ✭ 13 (-99.29%)