All Projects → spams-python → Similar Projects or Alternatives

304 Open source projects that are alternatives of or similar to spams-python

OLSTEC
OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
Stars: ✭ 30 (+7.14%)
scikit-learn-intelex
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Stars: ✭ 887 (+3067.86%)
GDLibrary
Matlab library for gradient descent algorithms: Version 1.0.1
Stars: ✭ 50 (+78.57%)
greycat
GreyCat - Data Analytics, Temporal data, What-if, Live machine learning
Stars: ✭ 104 (+271.43%)
100DaysOfMLCode
No description or website provided.
Stars: ✭ 19 (-32.14%)
Moo-GBT
Library for Multi-objective optimization in Gradient Boosted Trees
Stars: ✭ 63 (+125%)
RobustPCA
No description or website provided.
Stars: ✭ 15 (-46.43%)
bitcoin-prediction
bitcoin prediction algorithms
Stars: ✭ 21 (-25%)
Plant-Disease-Identification-using-CNN
Plant Disease Identification Using Convulutional Neural Network
Stars: ✭ 89 (+217.86%)
mlreef
The collaboration workspace for Machine Learning
Stars: ✭ 1,409 (+4932.14%)
cheapml
Machine Learning algorithms coded from scratch
Stars: ✭ 17 (-39.29%)
linear chain crf
A HMM-like linear-chain CRF, used Tensorflow API. 🐣
Stars: ✭ 37 (+32.14%)
AI Learning Hub
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
Stars: ✭ 53 (+89.29%)
MLDemos
Machine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly see the results in a visual and understandable manner.
Stars: ✭ 46 (+64.29%)
Machine-Learning-Explained
Learn the theory, math and code behind different machine learning algorithms and techniques.
Stars: ✭ 30 (+7.14%)
deep-blueberry
If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
Stars: ✭ 17 (-39.29%)
pyspark-ML-in-Colab
Pyspark in Google Colab: A simple machine learning (Linear Regression) model
Stars: ✭ 32 (+14.29%)
lolo
A random forest
Stars: ✭ 37 (+32.14%)
Tf-Rec
Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.
Stars: ✭ 18 (-35.71%)
Time-Series-Analysis-and-Forecasting-with-Python
No description or website provided.
Stars: ✭ 24 (-14.29%)
Soomvaar
Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥
Stars: ✭ 41 (+46.43%)
PaperWeeklyAI
📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.
Stars: ✭ 50 (+78.57%)
Binary-Neural-Networks
Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.
Stars: ✭ 55 (+96.43%)
EgoSplitting
A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
Stars: ✭ 78 (+178.57%)
books-ML-and-DL
.pdf Format Books for Machine and Deep Learning
Stars: ✭ 105 (+275%)
Clustering Algorithms from Scratch
Implementing Clustering Algorithms from scratch in MATLAB and Python
Stars: ✭ 170 (+507.14%)
Machine Learning Code
《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现
Stars: ✭ 169 (+503.57%)
Cerbo
Perform Efficient ML/DL Modelling easily
Stars: ✭ 12 (-57.14%)
awesome-computer-vision-models
A list of popular deep learning models related to classification, segmentation and detection problems
Stars: ✭ 419 (+1396.43%)
PyLDA
A Latent Dirichlet Allocation implementation in Python.
Stars: ✭ 51 (+82.14%)
pycobra
python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
Stars: ✭ 111 (+296.43%)
bristol
Parallel random matrix tools and complexity for deep learning
Stars: ✭ 25 (-10.71%)
rankpruning
🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
Stars: ✭ 81 (+189.29%)
pyHSICLasso
Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
Stars: ✭ 125 (+346.43%)
ml course
"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019
Stars: ✭ 22 (-21.43%)
FinRL Podracer
Cloud-native Financial Reinforcement Learning
Stars: ✭ 179 (+539.29%)
Statistical-Learning-using-R
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
Stars: ✭ 27 (-3.57%)
AgePredictor
Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum
Stars: ✭ 13 (-53.57%)
densratio py
A Python Package for Density Ratio Estimation
Stars: ✭ 112 (+300%)
bihm
Bidirectional Helmholtz Machines
Stars: ✭ 40 (+42.86%)
Heart disease prediction
Heart Disease prediction using 5 algorithms
Stars: ✭ 43 (+53.57%)
datascience-mashup
In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.
Stars: ✭ 36 (+28.57%)
machine-learning-templates
Template codes and examples for Python machine learning concepts
Stars: ✭ 40 (+42.86%)
sia-cog
Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.
Stars: ✭ 34 (+21.43%)
data sciences campaign
【数据科学家系列课程】
Stars: ✭ 91 (+225%)
ml-ai
ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions
Stars: ✭ 32 (+14.29%)
osdg-tool
OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.
Stars: ✭ 22 (-21.43%)
mnist-neural-network-deeplearnjs
🍃 Using a Neural Network to recognize MNIST digets in JavaScript.
Stars: ✭ 26 (-7.14%)
Machine-Learning
Machine Learning from scratch.
Stars: ✭ 25 (-10.71%)
MachineLearning
Implementations of machine learning algorithm by Python 3
Stars: ✭ 16 (-42.86%)
MLclass
My main Machine Learning class
Stars: ✭ 56 (+100%)
Sales-Prediction
In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
Stars: ✭ 56 (+100%)
HuaweiCodeCraft2020
2020华为软件精英挑战赛
Stars: ✭ 14 (-50%)
vlainic.github.io
My GitHub blog: things you might be interested, and probably not...
Stars: ✭ 26 (-7.14%)
Multi-Type-TD-TSR
Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
Stars: ✭ 174 (+521.43%)
SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Stars: ✭ 165 (+489.29%)
EXPLORING SKLEARN
Exploring sklearn 🌟
Stars: ✭ 12 (-57.14%)
lbfgsb-gpu
An open source library for the GPU-implementation of L-BFGS-B algorithm
Stars: ✭ 70 (+150%)
machine-learning-implemetation-python
Basic Machine Learning implementation with python
Stars: ✭ 51 (+82.14%)
xgboost-smote-detect-fraud
Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!
Stars: ✭ 59 (+110.71%)
1-60 of 304 similar projects