708 Open source projects that are alternatives of or similar to influence_boosting

A collection of research papers on decision, classification and regression trees with implementations.

The best resources around Machine Learning

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Machine Learning algorithms coded from scratch

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

🌳 Stacked Gradient Boosting Machines

Example of order book modeling.

텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다.

A context encoder for audio inpainting

Implementations of normalizing flows using python and tensorflow

Machine Learning University: Decision Trees and Ensemble Methods

anomaly detection with anomalize and Google Trends data

Continuously Learning Artificial Intelligence Rules Engine (Claire) for Smart Homes

Performance-tuned Minecraft 1.8 spigot server

No description or website provided.

Official implementation of "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019) in PyTorch.

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

Code for "Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data"

Tensorflow implementation of the Restricted Boltzmann Machine

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Unofficial! English original and Chinese translation of the paper.

Incremental Methods of Deep Learning for Detection and Classifcation in a Robotics Environment

Mixin loader for Paper

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

Implemented a Convolutional Neural Network for end-to-end driving in a simulator using Tensorflow and Keras. The project involves training over 13,000 images in a unity3d simulator to steer the car successfully throughout the track

Source code of the paper "Leveraging textual properties of bug reports to localize relevant source files".

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

Code for 2016 TPAMI(IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE) A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs

A collection of Methods and Models for various architectures of Artificial Neural Networks

Summary of machine learning papers

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

subsemble R package for ensemble learning on subsets of data

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

An intelligently dumb calculator that uses machine learning

Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings

Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.

wherein I implement several substructural logics in Agda

PROSAC algorithm in python

个人博客；论文；机器学习；深度学习；Python学习；C++学习；

📦 Powerful Package manager which updates plugins & server software for minecraft servers

Curriculum Learning related papers and materials

The simplest Perceptron you'll ever see

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"

Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"

Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)

PaperView 是一个自定义的View，它就像一张纸折叠和展开

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

A paper list with code of lane detection.

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

ExCon: Explanation-driven Supervised Contrastive Learning

Code for the paper "A Similarity Measure for Material Appearance" presented in SIGGRAPH 2019 and published in ACM Transactions on Graphics (TOG).

An intuitive implementation of spectral clustering on matlab

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

An open information extraction system that provides compact extractions