truncated-svd
There are 27 repositories under truncated-svd topic.
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
jonaschn/awesome-topic-models
✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)
musco-ai/musco-pytorch
MUSCO: MUlti-Stage COmpression of neural networks
krpiyush5/Amazon-Fine-Food-Review
Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
musco-ai/musco-tf
MUSCO: Multi-Stage COmpression of neural networks
Sachin-D-N/Amazon_Food_Reviews
In this repository, I am practiced and implemented various machine learning algorithms using the real-world dataset amazon food reviews from Kaggle.
Vishwesh4/Netflix-prize
Netflix data challenge hosted by PRML course in IITM, we secured 5th position as team Goodfellas
jfilter/sparse-svd-benchmark
Sparse Truncated SVD Benchmark (Python)
matteo-serafino/dimensionality-reduction-package
Python package for plug and play dimensionality reduction techniques and data visualization in 2D or 3D.
buketgencaydin/Dynamic-Malware-Modelling
Malware classification using Extreme Gradient Boosting - XGBoost, CountVectorizer, TruncatedSVD
tek-cub/nlp-job-postings
Natural language processing of job postings in order to gain insight into the data science job market.
u1234x1234/pyspectra
Unofficial python interface to Spectra library; GPU accelerated eigenvalue / TruncatedSVD problems solving
akjayant/Linear-Algebra
Linear Algebra Course Assignments at IISc, Bangalore
AndresF100/UML--NLP_Objetivos_Desarrollo_Sostenible
Unsupervised machine learning project 2: Alcanzando los objetivos de desarrollo sostenible, uso de NLP para clasificación de documentos.
niketan108/Truncated-SVD-on-amazon-food
Built a model using Truncated SVD on amazon fine food review dataset
y656/Weather-data-clustering
This repository contains clustering techniques applied to minute weather data. It contains K-Means, Heirarchical Agglomerative clustering. I have applied various feature scaling techniques and explored the best one for our dataset
a-t-em/KNN-Book-Recommendation
NearestNeighbors and correlation matrix for book recommendation.
Fedorov-Artem/kaggle-single-cell
Code for kaggle single cell competition (got bronze medal)
marycboardman/Random-Acts-of-Pizza
A machine learning project using the data from this Kaggle competition: https://www.kaggle.com/c/random-acts-of-pizza
nathan-lindstedt/congress_districts
Machine Learning w/ AWS SageMaker Pipelines
VinylBr/DeepLearningvsML_TBResistancePrediction
Deep Learning vs Tranditional ML methods for TB Drug Resistance prediction from Genomic data
erfanasgari21/LSA_News_Classification
Course project designed as TA for Linear Algebra, utilizing Latent Semantic Analysis (LSA) to classify news articles based on their semantic content.
gsiddhad/Text-Classification
Text Classification using ML and DL