deepak-k-zefr

deepak-k-zefr's Stars

• shashank88/system_design

  Preparation links and resources for system design questions

  8.7k2.4k

• tthustla/yet_another_tiwtter_sentiment_analysis_part1

  Language:Jupyter Notebook1811

• d6t/d6tflow

  Python library for building highly effective data science workflows

  Language:Python95177

• wolfecameron/music_recommendation

  contains the notebooks that I created for implementing probabilistic matrix factorization in PyTorch for music recommendation engine.

  Language:Jupyter Notebook177

• sparalic/Electronic-Health-Records-GRUs

  Language:Jupyter Notebook1118

• huggingface/transformers

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

  Language:Python128k25.5k

• bhavsarpratik/hackathons

  This repo contains my hackathon solutions

  Language:Jupyter Notebook3815

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python37.4k9.5k

• Yorko/mlcourse.ai

  Open Machine Learning Course

  Language:Python9.5k5.7k

• ResidentMario/missingno

  Missing data visualization module for Python.

  Language:Python3.9k513

• jem1031/pandas-pipelines-custom-transformers

  Material for Talk at PyData Seattle 2017

  Language:Python16872

• ChristosChristofidis/awesome-deep-learning

  A curated list of awesome Deep Learning tutorials, projects and communities.

  23.2k6k

• martindurant/dask-tutorial-scipy-2018

  Materials for "Parallelizing Scientific Python with Dask"

  Language:Jupyter Notebook7051

• pydata/parallel-tutorial

  Parallel computing in Python tutorial materials

  Language:Jupyter Notebook300111

• WillKoehrsen/hyperparameter-optimization

  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

  Language:Jupyter Notebook612326

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  43.9k10.4k

• udacity/CVND_Localization_Exercises

  Notebooks for learning about object motion and localization methods in the last section of CVND.

  Language:Jupyter Notebook126125

• rragundez/PyDataAmsterdam2018

  Contents of the workshop "Hands-on introduction to Deep Learning with Keras and Tensorflow" I gave at PyData Amsterdam 2018

  Language:Jupyter Notebook6638

• sachinruk/deepschool.io

  Deep Learning tutorials in jupyter notebooks.

  Language:Jupyter Notebook1.8k514

• physicsman/Udacity_CVND

  Computer Vision Nanodegree Program

  Language:Jupyter Notebook22

• spro/pytorch-seq2seq-intent-parsing

  Intent parsing and slot filling in PyTorch with seq2seq + attention

  Language:Python15930

• PetrochukM/PyTorch-NLP

  Basic Utilities for PyTorch Natural Language Processing (NLP)

  Language:Python2.2k257

• ipython-books/cookbook-2nd-code

  Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

  Language:Jupyter Notebook718433

• amueller/scipy-2018-sklearn

  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

  Language:Jupyter Notebook246155

• hunkim/effective_python_notebook

  Language:Jupyter Notebook26391

• jeffheaton/t81_558_deep_learning

  T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

  Language:Jupyter Notebook5.7k3k

• mxhofer/Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL

  Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"

  Language:Jupyter Notebook17582

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python182k44k

• vmelan/CVND-udacity

  Computer Vision Nanodegree program from Udacity

  Language:Jupyter Notebook5247

• rguthrie3/DeepLearningForNLPInPytorch

  An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

  Language:Jupyter Notebook1.9k461