Yashar78's repositories
annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
basic-yolo-keras
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).
bert
TensorFlow code and pre-trained models for BERT
bert-vocab-builder
Builds wordpiece(subword) vocabulary compatible for Google Research's BERT
course-nlp
A Code-First Introduction to NLP course
course-v3
The 3rd edition of course.fast.ai
DeepLearningExamples
Deep Learning Examples
dlaicourse
Notebooks for learning deep learning
fastai
The fastai deep learning library, plus lessons and and tutorials
fastai-v3
Starter app for fastai v3 model deployment on Render
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
LabelMeAnnotationTool
Source code for the LabelMe annotation tool.
LovaszSoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
models
Models and examples built with TensorFlow
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms
pytorch-faster-rcnn
0.4 updated. Support cpu test and demo.
pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
scibert
A BERT model for scientific text.
sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
table-extract
Locate and extract table and figure elements and caption references
tensorflow
Computation using data flow graphs for scalable machine learning
tensorpack
A Neural Net Training Interface on TensorFlow
TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
YOLOv3-tensorflow
Implement YOLOv3 with TensorFlow