Pinned Repositories
AmazingTransferLearning
Transfer Learning, Domain Adaptation
answer-selection
LSTM-based model for answer selection
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
DeepPavlov
An open source library for building end-to-end dialog systems and training chatbots.
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining techniques to Deep Learning.
Paddle
PArallel Distributed Deep LEarning
tutorials
satadru5's Repositories
satadru5/fast_rgf
Multi-core implementation of Regularized Greedy Forest
satadru5/FreeML
Data Science Resources (Mostly Free)
satadru5/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
satadru5/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
satadru5/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining techniques to Deep Learning.
satadru5/toxic
Toxic Comment Classification Challenge
satadru5/LSTM-FCN
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
satadru5/web-traffic-forecasting
Kaggle | Web Traffic Forecasting 📈
satadru5/Screenshot-to-code-in-Keras
A neural network that transforms a screenshot into a static website
satadru5/practical_seq2seq
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
satadru5/tensorflow_fasttext
Simple embedding based text classifier inspired by fastText, implemented in tensorflow
satadru5/kaggle-web-traffic
1st place solution
satadru5/Resume-Parser
Analyze, score and rank a collection of PDF resumes using machine learning
satadru5/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
satadru5/Wordbatch
Parallel text feature extraction for machine learning
satadru5/MUSE
A library for Multilingual Unsupervised or Supervised word Embeddings
satadru5/kaggle-quora-question-pairs
Kaggle:Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
satadru5/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
satadru5/DeepQA
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
satadru5/natural-language-summary-generation-from-structured-data
Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text
satadru5/seq2seq
Sequence to Sequence Learning with Keras
satadru5/OpenRefine
OpenRefine is a free, open source power tool for working with messy data and improving it
satadru5/dynamic-prices
Dynamic pricing for selling perishable goods
satadru5/NeuroNER
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
satadru5/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
satadru5/keras-text
Text Classification Library in Keras
satadru5/Competitive_Dai
The code to generate a top 20 score in the amazon classification challenge using Driverless AI's predictions and feature engineering : In line with this video : https://www.youtube.com/watch?v=qtUNyJlAID0&t=11s
satadru5/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
satadru5/text
Data loaders and abstractions for text and NLP
satadru5/Kaggle