620 Open source projects that are alternatives of or similar to Machine Learning Algorithms From Scratch

High performance unsupervised text tokenization for Ruby

CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

和（he for objective-c） —— “信息熵减机系统”

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A Tetris environment to train machine learning agents

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

A library that implements fairness-aware machine learning algorithms

Assessing Source Code Semantic Similarity with Unsupervised Learning

Tensorflow implementation of Restricted Boltzmann Machine

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".

Simple neural network implemented from scratch in C++.

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Examples of using Neptune to keep track of your experiments (maintenance only).

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and python

A list of popular deep learning models related to classification, segmentation and detection problems

A comprehensive list of awesome contrastive self-supervised learning papers.

BERT, LDA, and TFIDF based keyword extraction in Python

PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

Self-Supervised depth kalilia

Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.

A Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)

Teach you how to implement machine learning algorithms

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

Fake News Detection Final Year College Project with Project Report, PPT, Code, Research Paper and Documents.

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Tensorflow Implementation on Paper [BMVC2018]Deep Association Learning for Unsupervised Video Person Re-identification

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

All the code for a series of Medium articles on Approximate Nearest Neighbors

No description or website provided.

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

Implementation of the reweighted wake-sleep machine learning algorithm

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

No description or website provided.

(ICCV 2021) Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper

A notebook for machine learning interview

🙌Kart of 210+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.

https://machinelearning.wtf/ - An online glossary of machine learning terms.

Taller SparkR para las Jornadas de Usuarios de R

Mathematica implementations of machine learning algorithms used for prediction and personalization.

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.

Implementation of a Partial Least Squares Regressor

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

A simple Music Recommendation System

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

SPEAR: Programmatically label and build training data quickly.

An intuitive implementation of spectral clustering on matlab

Different types of data analytics projects : EDA, PDA, DDA, TSA and much more.....