Frameworks for Neural Networks and Deep Learning.
Open-source keylogger write in python
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A TrueCharts automatic and bulk update utility
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Here is a curated list of outstanding projects with a focus on homepage, homelab, self-hos...
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UMich 500-Level Mobile Robotics Course
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Dicoding Machine Learning for Expert Last Submission - Recommendation System
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A neural network written in pure Lisp without built-in numbers
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Desktop application of the student information system of Ege University and application of...
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Predicts classes of environmental due diligence
EnvBert - BERT for Environment Domain EnvBert is an easy-to-use Python library built on top of Bert models to identify essential environmental data as
🌍 General Awesome Functional Programming List
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Deep learning transformer model that generates unique music sequences.
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Archive, organize, and watch for changes to publicly available information.
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Algorithms for regression analysis (e.g. linear regression and logistic regression)
Regression A Julia package for regression analysis. Overview This package is based on EmpiricalRisks, and provides a set of algorithms to perform regr
Local regression, so smooooth!
Loess This is a pure Julia loess implementation, based on the fast kd-tree based approximation described in the original Cleveland, et al papers[1,2,3
Julia Machine Learning library
MachineLearning.jl The MachineLearning package represents the very beginnings of an attempt to consolidate common machine learning algorithms written
A set of functions to support the development of machine learning algorithms
MLBase.jl Swiss knife for machine learning. This package does not implement specific machine learning algorithms. Instead, it provides a collection of
Regularized discriminant analysis in Julia.
Discriminant Analysis DiscriminantAnalysis.jl is a Julia package for multiple linear and quadratic regularized discriminant analysis (LDA & QDA respec
Run XGBoost model and make predictions in Node.js
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A DSL for deep neural networks, supporting Caffe and Torch
DNNGraph - A deep neural network model generation DSL in Haskell It consists of several parts: A DSL for specifying the model. This uses the lens libr
Purely functional artificial neural network library implemented in Haskell.
LambdaNet LambdaNet is an artificial neural network library written in Haskell that abstracts network creation, training, and use as higher order func
A machine learning package built for humans.
aerosolve Machine learning for humans. What is it? A machine learning library designed from the ground up to be human friendly. It is different from o
Haskell implementations of various ML algorithms.
MachineLearning in Haskell This is a library implementing some basic machine learning algorithms. Hopfield Networks To run the demonstration, run Mach
Homomorphic machine learning
HLearn HLearn is a high performance machine learning library written in Haskell. For example, it currently has the fastest nearest neighbor implementa
haskell neural network library
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Hopfield Networks for unsupervised learning in Haskell
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Bayesian Methods for Hackers
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A general purpose recommender metrics library for fair evaluation.
reXmeX is recommender system evaluation metric library. Please look at the Documentation and External Resources. reXmeX consists of utilities for reco
A PyTorch and TorchDrug based deep learning library for drug pair scoring.
Documentation | External Resources | Datasets | Examples ChemicalX is a deep learning library for drug-drug interaction, polypharmacy side effect, and
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM ...
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Pytorch Lightning code guideline for conferences
Deep learning project seed Use this seed to start new deep learning / ML projects. Built in setup.py Built in requirements Examples with MNIST Badges
The Classical Language Toolkit
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Yet Another Sequence Encoder - Encode sequences to vector of vector in python !
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Algorithms and Design Patterns
Code review tool
Concurrency and Parallelism
Date and Time
Natural Language Processing
Security related resources
Specific Formats Processing
Static Site Generator
Web Asset Management
Web Content Extracting
😎 Awesome lists about all kinds of interesting topics
TensorFlow an end-to-end open source platform for machine learning.
Models and examples built with TensorFlow
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2....
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Keras: Deep Learning for humans
A collection of awesome things regarding React ecosystem
The world's simplest facial recognition api for Python and the command line
Deepfakes Software For All
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)