🌄 Open Source AI Landscape - provides overview of top tier projects in the open source AI ecosystem, shows projects through GitHub data, funding or market cap, first and last commits, contributor count and much other information.

✭ 172

deep-learning machine-learning artificial-intelligence svg data logo

Ee Outliers

Open-source framework to detect outliers in Elasticsearch events

✭ 172

python machine-learning statistics ml anomaly-detection threat-hunting siem statistical-analysis netsec

Ditching Excel For Python

Functionalities in Excel translated to Python

✭ 172

python vba jupyter-notebook machine-learning numpy pandas excel dataframe eda exploratory-data-analysis pivot-tables

Jodie

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

✭ 172

python machine-learning embeddings representation-learning

Data Science Resources

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

✭ 171

python jupyter-notebook machine-learning data-science artificial-intelligence data-visualization data dataset learning data-analysis data-mining repository datascience artificial-neural-networks data-analytics

Jaxnet

Concise deep learning for JAX

✭ 171

python deep-learning machine-learning data-science neural-networks

Lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

✭ 13,293

python r C++c Cuda shell machine-learning distributed microsoft data-mining parallel kaggle lightgbm decision-trees gradient-boosting gbdt gbm gbrt

Shap

A game theoretic approach to explain the output of any machine learning model.

✭ 14,917

Jupyter Notebook python C++javascript Cuda powershell deep-learning machine-learning interpretability gradient-boosting shapley shap explainability

Transmogrifai

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

✭ 2,084

scala machine-learning ai spark ml automl salesforce feature-engineering pipelines transformations automated-machine-learning features transformers estimators sparkml structured-data einstein transmogrification transmogrify

Shape Detection

🟣 Object detection of abstract shapes with neural networks

✭ 170

jupyter-notebook deep-learning machine-learning tutorial keras object-detection neural-networks dataset

Rusty sr

Deep learning superresolution in pure rust

✭ 170

rust deep-learning machine-learning neural-network

Clickbaits revisited

Deep learning models to identify clickbaits taking content into consideration

✭ 170

python deep-learning machine-learning

Cnn Svm

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

✭ 170

python deep-learning machine-learning tensorflow artificial-intelligence convolutional-neural-networks classification artificial-neural-networks supervised-learning

Data Science Toolkit

Collection of stats, modeling, and data science tools in Python and R.

✭ 169

python r html machine-learning data-science natural-language-processing reinforcement-learning data-visualization statistics classification data-mining regression ggplot2 modeling logistic-regression tidyverse statistical-analysis

Examples

Example code and applications for machine learning on Graphcore IPUs

✭ 170

python deep-learning machine-learning

Neural Photo Editor

A simple interface for editing natural photos with generative neural networks.

✭ 2,031

python deep-learning machine-learning computer-vision convolutional-neural-networks gans interfaces

Tensorflow Build Archived

TensorFlow binaries supporting AVX, FMA, SSE

✭ 1,961

shell machine-learning tensorflow simd-instructions

Sacredboard

Dashboard for sacred. Monitor and access your past machine learning experiments.

✭ 169

python machine-learning dashboard experiments

Machine Learning

coursera课程笔记 & 机器学习实战手撸代码。

✭ 169

python machine-learning coursera note

Kaggle Competition Favorita

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

✭ 169

python deep-learning machine-learning keras cnn lstm time-series kaggle lightgbm

Colab

Continual Learning tutorials and demo running on Google Colaboratory.

✭ 168

jupyter-notebook machine-learning artificial-intelligence demo tutorials

Coreml Survival Guide

Source code for the book Core ML Survival Guide

✭ 168

python swift deep-learning ios machine-learning macos coreml

Pysurvival

Open source package for Survival Analysis modeling

✭ 169

python html deep-learning machine-learning pytorch numpy

Rath

自动化数据探索分析和智能可视化设计应用. Automatic insights discovery and visualization for data analysis.

✭ 169

typescript machine-learning visualization eda

Effective transformer

Running BERT without Padding

✭ 169

machine-learning tensorflow transformer inference

Sentiment classifier

Sentiment Classification using Word Sense Disambiguation

✭ 169

machine-learning sentiment-analysis

Textvec

Text vectorization tool to outperform TFIDF for classification tasks

✭ 167

python machine-learning nlp natural-language-processing text-classification text-processing text-analysis tf-idf

Lineflow

⚡️A Lightweight NLP Data Loader for All Deep Learning Frameworks in Python

✭ 168

python deep-learning machine-learning natural-language-processing

Auptimizer

An automatic ML model optimization tool.

✭ 166

python deep-learning machine-learning data-science neural-networks automl hyperparameter-optimization data-engineering hyperparameter-tuning automated-machine-learning

Awesome Machine Learning In Compilers

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

✭ 168

machine-learning artificial-intelligence compiler parallel-computing parallelism operating-systems

Py ml utils

Some small utility modules to help with pandas, numpy and sklearn usage in other projects

✭ 167

python machine-learning

Autosklearn Zeroconf

autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it returns a list of predicted outcomes for your new data. It even estimates the precision for you! The engine is tuning massively parallel ensemble of machine learning pipelines for best precision/recall.

✭ 167

python machine-learning

Keras Inception Resnet V2

The Inception-ResNet v2 model using Keras (with weight files)

✭ 167

python deep-learning machine-learning keras

Licenseplatedetector

Detects license plate of car and recognizes its characters

✭ 165

python machine-learning image-recognition

Awesome Ml Model Compression

Awesome machine learning model compression research papers, tools, and learning material.

✭ 166

machine-learning awesome-list neural-networks quantization model-compression pruning

Cnn Exposed

🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

✭ 167

jupyter-notebook deep-learning machine-learning computer-vision neural-network

Sig Mlops

CDF SIG MLOps

✭ 165

machine-learning ml

Ml privacy meter

Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks

✭ 167

python machine-learning privacy inference gdpr

Awesome Ml Courses

Awesome free machine learning and AI courses with video lectures.

✭ 2,145

deep-learning machine-learning artificial-intelligence reinforcement-learning ai-courses

Server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

✭ 2,994