Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

https://github.com/Ye-D/PPML-Resource

Materials about Privacy-Preserving Machine Learning

deep-learning machine-learning mpc privacy secure-computation

Last synced: 03 Jul 2024

https://github.com/chatopera/chatopera.feishu

通过 Feishu 开放平台和 Chatopera 机器人平台上线智能对话机器人服务, 聊天机器人，飞书，lark

ai bot chatbot chatopera dialog feishu lark machine-learning nlp nlu python python3

Last synced: 03 Jul 2024

https://github.com/arian-askari/ChatGPT-RetrievalQA

A dataset for training/evaluating Question Answering Retrieval models on ChatGPT responses with the possibility to training/evaluating on real human responses.

ai chatgpt chatgpt-information-retrieval chatgpt-ir data-augmentation dataset deep-learning gpt-3 gpt2 gpt3 information-retrieval information-retrieval-chatgpt ir ir-chatgpt machine-learning nlp openai python sequence-to-sequence text-retrieval

Last synced: 03 Jul 2024

https://github.com/Bakuutin/lstm_text_generator

Neural network powered telegram bot

lstm machine-learning rnn telegram tensorflow

Last synced: 03 Jul 2024

https://github.com/alchaplinsky/ai21

A Ruby client for AI21 Studio API

ai api-client artificial-intelligence machine-learning ml ruby

Last synced: 03 Jul 2024

https://github.com/NUAA-AL/alipy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

active-learning machine-learning python toolbox

Last synced: 03 Jul 2024

https://github.com/wiseodd/generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gan generative-model machine-learning pytorch rbm restricted-boltzmann-machine tensorflow vae

Last synced: 03 Jul 2024

https://github.com/yinboc/liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

implicit-neural-representation machine-learning pytorch super-resolution

Last synced: 03 Jul 2024

https://github.com/azad-academy/personalized-diffusion

A Tutorial on Customized Image Generation by Fine-Tuning the Stable Diffusion Models

computer-vision deep-learning diffusion-models machine-learning

Last synced: 03 Jul 2024

https://github.com/iml-wg/HEPML-LivingReview

Living Review of Machine Learning for Particle Physics

hep latex machine-learning papers particle-physics

Last synced: 03 Jul 2024

https://github.com/iml-wg/HEP-ML-Resources

Listing of useful learning resources for machine learning applications in high energy physics (HEPML)

hep machine-learning

Last synced: 03 Jul 2024

https://github.com/So-Cool/you-only-write-thrice

A companion repository to the "You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source" paper published at Rethinking ML Papers – ICLR 2021 Workshop.

iclr2021 jupyter-book machine-learning publishing

Last synced: 03 Jul 2024

https://github.com/bigscience-workshop/bigscience

Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

machine-learning models nlp training

Last synced: 03 Jul 2024

https://github.com/casparwylie/Perceptron

A flexible artificial neural network builder to analyse performance, and optimise the best model.

artificial-intelligence artificial-neural-network machine-learning machine-learning-algorithms neural-network opencv python tkinter

Last synced: 03 Jul 2024

https://github.com/openml/openml-python

Python module to interface with OpenML

hacktoberfest machine-learning meta-learning openml python

Last synced: 03 Jul 2024

https://github.com/stevenygd/PointFlow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

3d-point-clouds computer-vision continuous-normalizing-flows machine-learning pytorch shapes

Last synced: 03 Jul 2024

https://github.com/pyro-ppl/funsor

Functional tensors for probabilistic programming

jax machine-learning numpy probabilistic-programming pyro pytorch symbolic

Last synced: 03 Jul 2024

https://github.com/hariharan-devarajan/vanidl

VaniDL is an tool for analyzing I/O patterns and behavior with Deep Learning Applications.

ai analysis data deep-learning deep-neural-networks machine-learning profile storage tensorflow2

Last synced: 03 Jul 2024

https://github.com/IntelPython/scikit-learn_bench

scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.

benchmarks daal4py hacktoberfest machine-learning machine-learning-benchmarks scikit-learn-benchmarks

Last synced: 03 Jul 2024

https://github.com/CUAI/Neural-Manifold-Ordinary-Differential-Equations

[NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)

generative-models machine-learning neural-manifold-odes neurips-2020

Last synced: 03 Jul 2024

https://github.com/xitorch/xitorch

Differentiable scientific computing library

linear-algebra machine-learning numerical-calculations pytorch scientific-computing

Last synced: 03 Jul 2024

https://github.com/rgflowopen/rg-flow

Code for RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior.

generative-models hierarchical-models machine-learning normalizing-flows renormalization-group

Last synced: 03 Jul 2024

https://github.com/chovanecm/sacredboard

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

dashboard experiments machine-learning mongodb-database sacred

Last synced: 03 Jul 2024

https://github.com/RainingComputers/pykitml

Machine Learning library written in Python and NumPy.

deep-learning machine-learning neural-network numpy python-library random-forest

Last synced: 03 Jul 2024

https://github.com/facebookresearch/NeuralCompression

A collection of tools for neural compression enthusiasts.

compression deep-learning jax machine-learning neural-compression python pytorch

Last synced: 03 Jul 2024

https://github.com/muammar/ml4chem

ML4Chem: Machine Learning for Chemistry and Materials

chemistry deeplearning kernel kernel-methods machine-learning materials-science physics

Last synced: 03 Jul 2024

https://github.com/GilesStrong/lumin

LUMIN - a deep learning and data science ecosystem for high-energy physics.

deep-learning hep machine-learning physics pytorch science statistics

Last synced: 03 Jul 2024

https://github.com/lettucecfd/lettuce

Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method

cfd lattice-boltzmann machine-learning physics-simulation pytorch torch

Last synced: 03 Jul 2024

https://github.com/janosh/tensorboard-reducer

Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.

averaging csv machine-learning pytorch reducer tensorboard tensorboard-pytorch tensorboard-reducer

Last synced: 03 Jul 2024

https://github.com/gcorso/torsional-diffusion

Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)

chemistry conformer-generator equivariance geometry machine-learning molecules neurips-2022 torsion-angles

Last synced: 03 Jul 2024

https://github.com/MLMI2-CSSI/foundry

Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry

chemistry data-science datasets machine-learning materials-science

Last synced: 03 Jul 2024

https://github.com/julvo/reloading

Change Python code while it's running without losing state

deep-learning hot-reload hot-reloading interactive keras machine-learning python pytorch utility

Last synced: 03 Jul 2024

https://github.com/run-house/runhouse

The fastest way to iterate and deploy AI workloads on your own infra. Unobtrusive, debuggable, PyTorch-like APIs.

api artificial-intelligence aws azure collaboration data-science deployment distributed fastapi gcp infrastructure machine-learning middleware observability python pytorch ray sagemaker serverless

Last synced: 03 Jul 2024

https://github.com/haltakov/natural-language-image-search

Search photos on Unsplash using natural language

clip computer-vision image-search machine-learning photos unsplash

Last synced: 03 Jul 2024

https://github.com/manankalra/elastic-xpack-machine-learning-tutorial

A simple tutorial to get started with unsupervised machine learning for the elastic stack

anomaly-detection automation elastic elk machine-learning x-pack

Last synced: 02 Jul 2024

https://github.com/explosion/spacy-models

💫 Models for the spaCy Natural Language Processing (NLP) library

machine-learning machine-learning-models models natural-language-processing nlp spacy spacy-models statistical-models

Last synced: 02 Jul 2024

https://github.com/hamelsmu/ktext

Utilities for preprocessing text for deep learning with Keras

deep-learning keras machine-learning ml-infrastructure nlp-machine-learning python-3

Last synced: 02 Jul 2024

https://github.com/hamelsmu/Seq2Seq_Tutorial

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

data-science deep-learning deeplearning keras keras-tutorials machine-learning medium-article nlp-machine-learning rnn-encoder-decoder seq2seq-tutorial sequence-to-sequence

Last synced: 02 Jul 2024

https://github.com/maxmon/abu_ml

机器学习技术研究室——by阿布量化小组

abu abupy machine-learning python

Last synced: 02 Jul 2024

https://github.com/kaiwaehner/kafka-streams-machine-learning-examples

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

deep-learning deeplearning4j dl4j h2o h2oai java kafka kafka-client kafka-streams keras keras-tensorflow ksql machine-learning open-source python tensorflow

Last synced: 02 Jul 2024

https://github.com/mbok/elasticsearch-linear-regression

A machine learning plugin for Elasticsearch providing aggregations to compute multiple linear regression on search results in real-time for predictive analytics.

elasticsearch elasticsearch-plugin linear-regression machine-learning predictive-analytics

Last synced: 02 Jul 2024

https://github.com/apachecn/sklearn-doc-zh

:book: [译] scikit-learn（sklearn） 中文文档

documentation machine-learning python scikit-learn

Last synced: 02 Jul 2024

https://github.com/brenohq/elasticstackworkshop

Elastic Stack machine learning training examples.

elasticsearch elasticstack java-8 machine-learning

Last synced: 02 Jul 2024

https://github.com/apachecn/fastai-ml-dl-notes-zh

:book: [译] fast.ai 机器学习和深度学习中文笔记

deep-learning fastai lecture-notes machine-learning python pytorch

Last synced: 02 Jul 2024

https://github.com/audo-ai/magic-mic

Open Source Noise Cancellation App for Virtual Meetings

audio deep-learning machine-learning microphone noise-cancellation noise-reduction

Last synced: 02 Jul 2024

https://github.com/arabiaweather/athena

Automatic equation building and curve fitting. Runs on Tensorflow. Built for academia and research.

academia curve-fitting equation-solver interpretability machine-learning optimization research-tool simulation-framework symbolic-computation symbolic-regression tensorflow

Last synced: 02 Jul 2024

https://github.com/majianjia/nnom

A higher-level Neural Network library for microcontrollers.

embedded iot machine-learning mcu microcontroller ml neural-networks nnom

Last synced: 02 Jul 2024

https://github.com/neonwatty/machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

artificial-intelligence autograd collab data-science deep-learning jax jupyter-notebook lecture-notes machine-learning machine-learning-algorithms mathematical-optimization neural-network numpy python slides

Last synced: 02 Jul 2024

https://github.com/timeseriesAI/tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

classification cnn deep-learning fastai forecasting inceptiontime machine-learning python pytorch regression rnn rocket self-supervised sequential state-of-the-art time-series time-series-analysis time-series-classification timeseries transformer

Last synced: 02 Jul 2024

https://github.com/hollance/CoreMLHelpers

Types and functions that make it a little easier to work with Core ML in Swift.

core-ml coreml ios machine-learning swift

Last synced: 02 Jul 2024

https://github.com/arogozhnikov/infiniteboost

InfiniteBoost: building infinite ensembles with gradient descent

experiments gradient-boosting machine-learning random-forest research

Last synced: 02 Jul 2024

https://github.com/starling-lab/BoostSRL

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

artificial-intelligence machine-learning machine-learning-algorithms pattern-classification statistical-learning

Last synced: 02 Jul 2024

https://github.com/ArunMichaelDsouza/tensorflow-image-detection

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

convolutional-neural-networks deep-learning deep-neural-networks image-detection machine-learning tensorflow

Last synced: 02 Jul 2024

https://github.com/hollance/TensorFlow-iOS-Example

Source code for my blog post "Getting started with TensorFlow on iOS"

ios logistic-regression machine-learning metal tensorflow voice-recognition

Last synced: 02 Jul 2024

https://github.com/locuslab/qpth

A fast and differentiable QP solver for PyTorch.

deep-learning machine-learning optimization pytorch quadratic-programming

Last synced: 02 Jul 2024

https://github.com/ARM-software/armnn

Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn

machine-learning neural-network neural-networks

Last synced: 02 Jul 2024

https://github.com/alexrozanski/LlamaChat

Chat with your favourite LLaMA models in a native macOS app

ai llama llamacpp machine-learning macos swift swiftui

Last synced: 02 Jul 2024

https://github.com/cedrickchee/awesome-ml-model-compression

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

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

Last synced: 02 Jul 2024

https://github.com/gigwegbe/tinyml-papers-and-projects

This is a list of interesting papers and projects about TinyML.

computer-vision embedded-systems machine-learning neural-architecture-search tinyml wake-word

Last synced: 02 Jul 2024

https://github.com/grouplens/samantha

Samantha - A generic recommender and predictor server

machine-learning predictive-systems predictor-server recommender-server recommender-systems

Last synced: 02 Jul 2024

https://github.com/JosephTLucas/lintML

A security-first linter for code that shouldn't need linting

linter machine-learning security

Last synced: 02 Jul 2024

https://github.com/ffhibnese/Model-Inversion-Attack-ToolBox

A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.

benchmarks machine-learning model-inversion model-inversion-attacks privacy toolbox trustworthy-ai

Last synced: 02 Jul 2024

https://github.com/go-outside-labs/blockchain-infrastructure-design

👾 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗮𝗻𝗱 𝗠𝗩𝗣 𝘀𝗼𝘂𝗿𝗰𝗲 𝗰𝗼𝗱𝗲, 𝘀𝘂𝗰𝗵 𝗮𝘀 𝗮 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗲𝘃𝗲𝗻𝘁 𝘀𝗰𝗮𝗻𝗻𝗲𝗿𝘀, 𝗳𝗼𝗿 𝗼𝗻-𝗰𝗵𝗮𝗶𝗻 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀, 𝗵𝗳𝘁, 𝗺𝗹...

blockchain cypherpunk data-engineering ethereum event-scanner machine-learning quantitative-finance rust

Last synced: 02 Jul 2024

https://github.com/arturmiller/adversarial_ml_ctf

This repository is a CTF challenge, showing a security flaw in most (all?) common artificial neural networks. They are vulnerable for adversarial images.

adversarial challenge ctf docker flask machine-learning optimization python security website

Last synced: 02 Jul 2024

https://github.com/YingtongDou/Nash-Detect

Code for KDD 2020 paper Robust Spammer Detection by Nash Reinforcement Learning

fraud-detection game-theory machine-learning reinforcement-learning security spam-detection

Last synced: 01 Jul 2024

https://github.com/icoxfog417/awesome-financial-nlp

Researches for Natural Language Processing for Financial Domain

finance financial-analysis machine-learning natural-language-processing

Last synced: 01 Jul 2024

https://github.com/YingtongDou/CARE-GNN

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

datamining deep-learning fraud-detection fraud-prevention graphneuralnetwork machine-learning reinforcement-learning security

Last synced: 01 Jul 2024

https://github.com/dsgissin/DiscriminativeActiveLearning

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

active-learning adversarial-active-learning bayesian-active-learning core-set deep-learning egl machine-learning uncertainty-sampling

Last synced: 01 Jul 2024