d-vinayak

d-vinayak's Stars

• NirantK/NLP_Quickbook

  NLP in Python with Deep Learning

  Language:Jupyter Notebook568231

• nlptown/nlp-notebooks

  A collection of notebooks for Natural Language Processing from NLP Town

  Language:Jupyter Notebook959373

• dipanjanS/nlp_workshop_odsc_europe20

  Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.

  Language:Jupyter Notebook13365

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k26.9k

• prodillo/Machine-Learning-Resources

  10459

• ralphbrooks/tensorflow-tutorials

  Series of Tensorflow Tutorials

  Language:Jupyter Notebook2217

• hiromis/notes

  Language:CSS1k477

• laxmimerit/NLP-Models-Tensorflow

  Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

  2729

• EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10

  How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

  Language:Python2.9k1.3k

• BadriPrudhvi/AV_Hackathon

  Analytics Vidhya - ML Hackathons

  Language:Jupyter Notebook1716

• abhimishra91/transformers-tutorials

  Github repo with tutorials to fine tune transformers for diff NLP tasks

  Language:Jupyter Notebook818193

• the-full-stack/fsdl-text-recognizer-project

  Lab materials for the Full Stack Deep Learning Course

  Language:Jupyter Notebook1.2k428

• mrgloom/awesome-semantic-segmentation

  :metal: awesome-semantic-segmentation

  10.5k2.5k

• PacktPublishing/Advanced-NLP-Projects-with-TensorFlow-2.0

  Language:Jupyter Notebook12377

• ayulockin/LossLandscape

  Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan.

  Language:Jupyter Notebook624

• GoogleCloudPlatform/keras-idiomatic-programmer

  Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

  Language:Jupyter Notebook811282

• PacktPublishing/Hands-On-Computer-Vision-with-TensorFlow-2

  Hands-On Computer Vision with TensorFlow 2, published by Packt

  Language:Jupyter Notebook370267

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.3k5.9k

• ibrahimjelliti/Deeplearning.ai-Natural-Language-Processing-Specialization

  This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

  Language:Jupyter Notebook725492

• ashrefm/multi-label-soft-f1

  Train a multi-label image classifier with macro soft-F1 loss in TensorFlow 2.0

  Language:Jupyter Notebook13838

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.4k14.9k

• mratsim/Amazon-Forest-Computer-Vision

  Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

  Language:Jupyter Notebook36875