suyogduttjain's Stars
Semantic-Org/Semantic-UI
Semantic is a UI component framework based around useful principles from natural language.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
niderhoff/nlp-datasets
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
transcranial/keras-js
Run Keras models in the browser, with GPU support using WebGL
amazon-archives/amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
wilfredinni/python-cheatsheet
All-inclusive Python cheatsheet
benfred/implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
maciejkula/spotlight
Deep recommender models using PyTorch.
robi56/Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
shangjingbo1226/AutoPhrase
AutoPhrase: Automated Phrase Mining from Massive Text Corpora
richliao/textClassifier
Text classifier for Hierarchical Attention Networks for Document Classification
arxiv-vanity/engrafo
Convert LaTeX documents into beautiful responsive web pages using LaTeXML.
mila-iqia/welcome_tutorials
Various tutorials given for welcoming new students at MILA.
zhanghang1989/PyTorch-Multi-Style-Transfer
Neural Style and MSG-Net
machinalis/iepy
Information Extraction in Python
tropy/tropy
Research photo management
kuleshov/cornell-cs5785-2020-applied-ml
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
hidasib/GRU4Rec
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
marcoancona/DeepExplain
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
jez/pandoc-starter
📄 My pandoc markdown templates and makefiles
ucaiado/QLearning_Trading
Learning to trade under the reinforcement learning framework
Leavingseason/OpenLearning4DeepRecsys
Some deep learning based recsys for open learning.
nyu-dl/Intro_to_ML_Lecture_Note
mpa139/allanlab
Allan Lab website
suyogduttjain/pixelobjectness
Generic Foreground Segmentation in Images
skywaLKer518/A-Recsys
A Tensorflow based implicit recommender system
suyogduttjain/keras-js
Run Keras models in the browser, with GPU support using WebGL