Repository Index

Visualizer for neural network, deep learning and machine learning models

• neural-network
• deep-learning
• machine-learning
• deeplearning

The Cloud Native AI Platform

• ml
• kubernetes
• minikube
• tensorflow

stable diffusion webui colab

• stable-diffusion
• stable-diffusion-web-ui
• stable-diffusion-webui
• colab

Fast and Accurate ML in 3 Lines of Code

• automl
• machine-learning
• data-science
• deep-learning

Deep universal probabilistic programming with Python and PyTorch

• python
• pytorch
• machine-learning
• bayesian

A scikit-learn compatible neural network library that wraps PyTorch

• scikit-learn
• pytorch
• machine-learning
• huggingface

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

• cntk
• visualization
• tensorflow
• model-converter

Scalable and user friendly neural :brain: forecasting algorithms.

• deep-learning
• forecasting
• esrnn
• nbeats

A highly efficient implementation of Gaussian Processes in PyTorch

• pytorch
• gaussian-processes
• gpu-acceleration

Fast, flexible and easy to use probabilistic modelling in Python.

• python
• machine-learning
• probabilistic-graphical-models
• pytorch

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

• deep-learning
• machine-learning
• ml-platform
• ml-infrastructure

TranslatedCAPTCHA recognition

• captcha-breaking
• keras-tutorials
• deep-learning
• keras

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

• machine-learning
• python
• statistics
• scikit-learn

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

• python
• genetic-algorithm
• optimization
• numpy

Synthetic data generators for tabular and time-series data

• gan-architectures
• gan
• deep-learning
• synthetic-data

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

• ai
• code
• datasets
• devops

A collection of computer vision pre-trained models.

• computer-vision
• tensorflow
• keras
• pytorch

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

• medical-imaging
• medical-ai
• deep-learning
• machine-learning

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

• deep-learning
• protein-sequences
• protein-structure
• semi-supervised-learning

A series of machine learning tutorials for Torch7

Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.

• ai
• graphs
• synerise
• embeddings

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

• pandas
• pandas-summary
• dataframes
• data-science

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

• pytorch
• memory-networks
• generation
• end-to-end-learning

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

• deep-learning
• agriculture
• pytorch
• dataset