- Ann Arbor, USA
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09:13
(UTC -04:00) - in/padhma-sahithya-muniraj
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Keras implementation of character-level sequence-to-sequence learning for spelling correction
A seq2seq model that can correct spelling mistakes.
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
This repo contains solutions to HackerRank Problems in Python
Sequence-to-sequence model with LSTM encoder/decoders and attention
Practical SQL case studies answered in Postgresql flavour
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
This app gathers all the links it finds from a website and stores it in the same directory under a manually specified project name.
The guide to tackle with the Text Summarization
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Makes you a Rockstar C++ Programmer in 2 minutes
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
β‘ Dynamically generated stats for your github readmes
A collection of my blogs on Data Science and Machine learning.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
List of Python API Wrappers and Libraries
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Pierian-Data / ISLR-python
Forked from JWarmenhoven/ISLR-pythonAn Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
A curated list of data science blogs
π An awesome Data Science repository to learn and apply for real world problems.
Repository to store sample python programs for python learning
All content related to machine learning from my blog
π Monitor deep learning model training and hardware usage from your mobile phone π±
A curated list of data engineering tools for software developers
Library for machine learning where all algorithms are implemented from scratch. Used only numpy.