Machine learning

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

GitHub: https://github.com/topics/machine-learning
Wikipedia: https://en.wikipedia.org/wiki/Machine_learning
Aliases: machine-learning-algorithms, machine-learning-library, machine-learning-application, machine-learning-models, machinelearning, ml,
Last updated: 2026-06-22 00:18:13 UTC
JSON Representation

https://github.com/RunLLM/aqueduct

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

ai data data-science kubernetes llm llms machine-learning ml ml-infrastructure ml-monitoring mlops orchestration python python3

Last synced: 18 Apr 2025

https://github.com/bcg-x-official/facet

Human-explainable AI.

data-analytics data-science explainable-ai hyperparameter-tuning interpretability machine-learning model-selection python shap-vector-decomposition simulation statistics

Last synced: 16 May 2025

https://github.com/knime/knime-core

KNIME Analytics Platform

database integration machine-learning open-source tool-blending workflow

Last synced: 21 Jan 2026

https://github.com/cod3licious/autofeat

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

automated-data-science automated-feature-engineering automated-machine-learning automl feature-engineering feature-selection linear-regression machine-learning machine-learning-models

Last synced: 12 Aug 2025

https://github.com/4paradigm/AutoX

AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.

kaggle machine-learning python

Last synced: 04 May 2025

https://github.com/HoloClean/holoclean

A Machine Learning System for Data Enrichment.

data-enrichment data-science inference-engine machine-learning pytorch

Last synced: 02 May 2025

https://github.com/attentionmech/mav

Model Activity Visualiser

large-language-models machine-learning visualization

Last synced: 23 Jan 2026

https://github.com/pliang279/MultiBench

[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

computer-vision deep-learning healthcare machine-learning multimodal-learning natural-language-processing representation-learning robotics speech-processing

Last synced: 08 May 2025

https://github.com/simonblanke/hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

Last synced: 14 May 2025

https://github.com/experiencor/self-driving-toy-car

A self driving toy car using end-to-end learning

cnn-keras convolutional-networks deep-learning machine-learning raspberry-pi self-driving-car servo

Last synced: 06 Apr 2025

https://github.com/NVlabs/pacnet

Pixel-Adaptive Convolutional Neural Networks (CVPR '19)

computer-vision deep-learning machine-learning

Last synced: 19 Jul 2025

https://github.com/hackingmaterials/matminer

Data mining for materials science

condensed-matter data-mining machine-learning materials-science matminer

Last synced: 21 Oct 2025

https://github.com/SimonBlanke/Hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Last synced: 05 Apr 2025

https://github.com/subho406/OmniNet

Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

artificial-intelligence deep-learning image-captioning machine-learning multimodal-learning multitask-learning neural-network nlp transformer video-recognition

Last synced: 19 Jul 2025

https://github.com/googleapis/nodejs-translate

This repository is deprecated. All of its content and history has been moved to googleapis/google-cloud-node.

machine-learning nodejs translate

Last synced: 04 May 2025

https://github.com/akshaybahadur21/Autopilot

A simple self-driving car module for humans 🚘 🛣️

autopilot dataset deep-learning driving-cars machine-learning nvidia research-paper self-driving-car tesla

Last synced: 19 Jul 2025

https://github.com/aws/sagemaker-training-toolkit

Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

aws deep-learning docker machine-learning python sagemaker training

Last synced: 14 May 2025

https://github.com/clarkerubber/irwin

irwin - the protector of lichess from all chess players villainous

ai chess chess-engine lichess lichess-api machine-learning mongodb numpy python python-chess python3 tensorflow

Last synced: 05 Apr 2025

https://github.com/js05212/BayesianDeepLearning-Survey

Bayesian Deep Learning: A Survey

arxiv bayesian bayesian-deep-learning bdl deep-learning machine-learning neural-networks survey variational-autoencoders

Last synced: 14 Mar 2025

https://github.com/erdogant/bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

bayesian-inference causal causal-models causal-networks causality-analysis dag directed-acyclic-graph machine-learning parameter-learning python sampling-methods structure-learning

Last synced: 14 May 2025

https://github.com/WangQvQ/YOLOMagic

YOLO Magic🪄 is an extension based on Ultralytics' YOLOv5, designed to provide more powerful functionality and simpler operations for visual tasks.

deep-learning gradio machine-learning onnx pytorch tflite yolo yolov5

Last synced: 20 Apr 2025

https://github.com/mithril-security/blindai

Confidential AI deployment with secure enclaves :lock:

ai confidential-computing enclave inference intel-sgx machine-learning onnx privacy python3 rust sgx

Last synced: 09 Oct 2025

https://github.com/shibing624/pytextclassifier

pytextclassifier is a toolkit for text classification. 文本分类，LR，Xgboost，TextCNN，FastText，TextRNN，BERT等分类模型实现，开箱即用。

bert classification focalloss-pytorch hierarchical machine-learning nlp pytextclassifier python pytorch softmax text-classification text-classifier

Last synced: 16 May 2025

https://github.com/different-ai/embedbase

A dead-simple API to build LLM-powered apps

ai artificial-intelligence chatgpt chatgpt-plugin embeddings gpt-4 machine-learning natural-language-processing openai pgvector supabase vector-database

Last synced: 14 May 2025

https://github.com/Mybridge/machine-learning-articles

Monthly Series - Top 10 Machine Learning Articles

deep-learning machine-learning machine-learning-algorithms neural-networks nlp reinforcement-learning

Last synced: 22 Mar 2025

https://github.com/mybridge/machine-learning-articles

Monthly Series - Top 10 Machine Learning Articles

deep-learning machine-learning machine-learning-algorithms neural-networks nlp reinforcement-learning

Last synced: 18 Jul 2025

https://github.com/AmazaspShumik/sklearn-bayes

Python package for Bayesian Machine Learning with scikit-learn API

bayesian bayesian-machine-learning machine-learning python scikit-learn

Last synced: 27 Mar 2025

https://github.com/fulifeng/Causal_Reading_Group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

causal-inference causality deep-learning machine-learning recommender-system

Last synced: 29 Mar 2025

https://github.com/jasmcaus/ai-math-roadmap

Your no-nonsense guide to the Math used in Artificial Intelligence

ai ai-roadmap artificial-intelligence caer data-science deep-learning machine-learning mathematics neural-network roadmap

Last synced: 27 Jan 2026

https://github.com/Kaixhin/dockerfiles

Compilation of Dockerfiles with automated builds enabled on the Docker Registry

cuda deep-learning docker dockerfiles machine-learning vnc

Last synced: 20 Mar 2025

https://github.com/alteryx/compose

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

ai automl data-labeling data-science labeling labeling-tool machine-learning prediction-engineering prediction-problem training-data

Last synced: 14 May 2025

https://github.com/vi3k6i5/guidedlda

semi supervised guided topic model with custom guidedLDA

data-science guided-topic-modeling guidedlda machine-learning seededlda topic-modeling

Last synced: 12 Apr 2025

https://github.com/understandable-machine-intelligence-lab/Quantus

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

deep-learning explainable-ai interpretability machine-learning pytorch quantification-evaluation-methods reproducibility tensorflow xai

Last synced: 08 May 2025

https://github.com/JaxGaussianProcesses/GPJax

Gaussian processes in JAX and Flax.

bayesian-inference gaussian-processes jax machine-learning probabilistic-programming

Last synced: 01 May 2025

https://github.com/vi3k6i5/GuidedLDA

semi supervised guided topic model with custom guidedLDA

data-science guided-topic-modeling guidedlda machine-learning seededlda topic-modeling

Last synced: 03 May 2025

https://github.com/pliang279/multibench

[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

computer-vision deep-learning healthcare machine-learning multimodal-learning natural-language-processing representation-learning robotics speech-processing

Last synced: 02 Mar 2025

https://github.com/emoen/Machine-Learning-for-Asset-Managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

clusters correlation density eigenvalue machine-learning

Last synced: 01 Apr 2025

https://github.com/jmschrei/apricot

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

data-science machine-learning python submodular-optimization submodularity

Last synced: 04 Apr 2025

https://github.com/tangledpath/ruby-fann

Ruby library for interfacing with FANN (Fast Artificial Neural Network)

ai c fann machine-learning native neural-network neural-networks nn ruby-fann ruby-gem rubygems

Last synced: 15 May 2025

https://github.com/safe-graph/gnn-fakenews

A collection of GNN-based fake news detection models.

benchmarking deep-learning fakenewsdetection graphneuralnetwork machine-learning misinformation social-media social-network-analysis

Last synced: 10 Sep 2025

https://github.com/Unbabel/COMET

A Neural Framework for MT Evaluation

artificial-intelligence evaluation-metrics machine-learning machine-translation natural-language-processing nlp

Last synced: 19 Jul 2025

https://github.com/BaseModelAI/cleora

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 cleora-embeddings datasets deepwalk embeddings entity graphs hypergraphs inductive-entity-embeddings machine-learning ml pytorch-biggraph synerise

Last synced: 05 May 2025

https://github.com/wellflat/imageprocessing-labs

computer vision, image processing and machine learning on the web browser or node.

computer-vision image-processing javascript machine-learning

Last synced: 05 Apr 2025

https://github.com/agilerl/agilerl

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

agilerl automl deep-learning deep-reinforcement-learning distributed evolutionary-algorithms gym hpo hyperparameter-optimization hyperparameter-tuning machine-learning mlops multi-agent multi-agent-reinforcement-learning pettingzoo python pytorch reinforcement-learning rlops training

Last synced: 16 May 2025

https://github.com/BCG-X-Official/facet

Human-explainable AI.

data-analytics data-science explainable-ai hyperparameter-tuning interpretability machine-learning model-selection python shap-vector-decomposition simulation statistics

Last synced: 08 May 2025

https://github.com/alteryx/open_source_demos

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

compose data-science evalml feature-engineering featuretools machine-learning python tutorial

Last synced: 09 Apr 2025

https://github.com/microsoft/OpenAIWorkshop

workshop materials to build intelligent solutions on Open AI

azure cognitive-services machine-learning openai

Last synced: 08 Apr 2025

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

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

autoencoder began discriminator dragan fgan fishergan gan generative-adversarial-network generative-models infogan lsgan machine-learning mmgan nsgan python pytorch ragan vae wasserstein wgan

Last synced: 01 Apr 2025

https://github.com/business-science/modeltime

Modeltime unlocks time series forecast models and machine learning in one framework

arima data-science deep-learning ets forecasting machine-learning machine-learning-algorithms modeltime prophet r-package tbats tidymodeling tidymodels time time-series time-series-analysis timeseries timeseries-forecasting

Last synced: 08 Apr 2025

https://github.com/isarandi/metrabs

Estimate absolute 3D human poses from RGB images.

3d-human-pose computer-vision deep-learning human-pose-estimation machine-learning motion-capture tensorflow tensorflow2

Last synced: 05 Apr 2025

https://github.com/raskr/rust-autograd

Tensors and differentiable operations (like TensorFlow) in Rust

autograd automatic-differentiation deep-learning machine-learning neural-networks rust tensor

Last synced: 07 Apr 2026

https://github.com/X-DataInitiative/tick

Module for statistical learning, with a particular emphasis on time-dependent modelling

machine-learning modelling optimization point-process python statistics

Last synced: 04 Apr 2025

https://github.com/WeBankFinTech/Prophecis

Prophecis is a one-stop cloud native machine learning platform.

gpu linkis machine-learning ml multi-tenant-management notebook

Last synced: 27 Mar 2025

https://github.com/kubedl-io/kubedl

Run your deep learning workloads on Kubernetes more easily and efficiently.

container deep-learning inference kubernetes machine-learning model scheduling

Last synced: 08 May 2025

https://github.com/henrikbostrom/crepes

Python package for conformal prediction

confidence-intervals conformal-classifiers conformal-prediction conformal-predictive-systems conformal-regressors cumulative-distribution-function jupyter-notebook machine-learning prediction-intervals prediction-sets python quantile-regression regression scikit-learn sklearn uncertainty-quantification

Last synced: 16 May 2025

https://github.com/neo-ai/neo-ai-dlr

Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.

deep-learning machine-learning

Last synced: 08 Apr 2026

https://github.com/safe-graph/GNN-FakeNews

A collection of GNN-based fake news detection models.

benchmarking deep-learning fakenewsdetection graphneuralnetwork machine-learning misinformation social-media social-network-analysis

Last synced: 21 Jul 2025

https://github.com/rbbrdckybk/dream-factory

Multi-threaded GUI manager for mass creation of AI-generated art with support for multiple GPUs.

ai ai-art generative-art image-generation machine-learning multi-gpu multithreaded nvidia-gpu stable-diffusion

Last synced: 24 Mar 2025

https://github.com/sacdallago/bio_embeddings

Get protein embeddings from protein sequences

bio-embeddings embedders language-model machine-learning pipeline protein-prediction protein-sequences protein-structure sequence-embeddings

Last synced: 08 Feb 2026

https://github.com/Neutone/neutone_sdk

Join the community on Discord for more discussions around Neutone! https://discord.gg/VHSMzb8Wqp

ai audio audio-plugin deep-learning machine-learning music python pytorch realtime-audio sdk vst

Last synced: 04 Apr 2025

https://github.com/anowell/are-we-learning-yet

How ready is Rust for Machine Learning?

machine-learning

Last synced: 15 May 2025

https://github.com/adambielski/CapsNet-pytorch

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

capsnet capsules deep-learning dynamic-routing-between-capsules machine-learning mnist pytorch

Last synced: 19 Jul 2025

https://github.com/anowell/are-we-learning-yet?tab=readme-ov-file

How ready is Rust for Machine Learning?

machine-learning

Last synced: 30 Apr 2025

https://github.com/vgel/repeng

A library for making RepE control vectors

language-model machine-learning mistral mistral-7b representation-engineering transformers

Last synced: 21 Aug 2025

https://github.com/ultralytics/assets

Ultralytics assets

app computer-vision docs hub machine-learning models ultralytics website yolo yolo11 yolo26 yolov5 yolov8

Last synced: 06 Feb 2026

https://github.com/shawnwun/RNNLG

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

benchmark-datasets deep-learning dialogue dialogue-generation dialogue-systems machine-learning natural-language-generation natural-language-processing nlg-dataset

Last synced: 14 May 2025

https://github.com/apple/ml-mdm

Train high-quality text-to-image diffusion models in a data & compute efficient manner

deep-learning diffusion-models large-scale-vision-models machine-learning pytorch

Last synced: 08 Oct 2025

https://github.com/dense-analysis/neural

AI Vim/Neovim code generation plugin (OpenAI, ChatGPT, and more)

ai chatgpt code-generation gpt-3 linux llm machine-learning macos neovim openai vim windows

Last synced: 05 Apr 2025

https://github.com/adambielski/capsnet-pytorch

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

capsnet capsules deep-learning dynamic-routing-between-capsules machine-learning mnist pytorch

Last synced: 05 Apr 2025

https://github.com/SwanHubX/SwanLab

⚡️SwanLab: your ML experiment notebook. 你的AI实验笔记本，日志记录与可视化AI训练全流程。

data-science deep-learning fastapi jax machine-learning mlops model-versioning python pytorch tensorboard tensorflow tracking transformers visualization

Last synced: 05 Mar 2025

https://github.com/erdos-project/pylot

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

autonomous-driving autonomous-vehicles carla carla-simulator control lane-detection machine-learning obstacle-tracking perception planning prediction self-driving-car traffic-light-detection

Last synced: 04 Apr 2025

https://github.com/explosion/prodigy-recipes

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

active-learning annotation annotation-tool artificial-intelligence computer-vision data-annotation data-science labeling-tool machine-learning machine-teaching natural-language-processing nlp prodigy spacy

Last synced: 04 Apr 2025

https://github.com/rentruewang/learning-machine

A handbook for ML built on answers.

deep-learning handbooks machine-learning

Last synced: 15 Mar 2025

https://github.com/lxe/llavavision

A simple "Be My Eyes" web app with a llama.cpp/llava backend

ai artificial-intelligence computer-vision llama llamacpp llm local-llm machine-learning multimodal webapp

Last synced: 05 Apr 2025

https://github.com/hamelsmu/code_search

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

code-search data-science deep-learning fastai keras machine-learning machine-learning-on-source-code ml-on-code natural-language-processing nlp python pytorch search search-algorithm searching-algorithms semantic-search semantic-search-engine tensorflow tutorial

Last synced: 19 Jun 2025

https://github.com/kLabUM/rrcf

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

anomaly-detection detect-outliers machine-learning outliers python random-forest robust-random-cut-forest streaming-data tree

Last synced: 14 Mar 2025

https://github.com/ottogroup/palladium

Framework for setting up predictive analytics services

data-science machine-learning scikit-learn

Last synced: 12 Apr 2025

https://github.com/cair/tsetlinmachine

Code and datasets for the Tsetlin Machine

bandit-learning frequent-pattern-mining game-theory learning-automata machine-learning pattern-recognition propositional-logic tsetlin-machine

Last synced: 23 Aug 2025

https://github.com/kaiyangzhou/pytorch-vsumm-reinforce

Unsupervised video summarization with deep reinforcement learning (AAAI'18)

computer-vision deep-learning machine-learning policy-network reinforcement-learning unsupervised-learning video-summarization

Last synced: 05 Apr 2025

https://github.com/khanhnamle1994/natural-language-processing

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

deep-learning glove machine-learning natural-language-processing word2vec

Last synced: 05 Apr 2025

https://github.com/versilov/matrex

A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.

c cblas elixir erlang jupyter-notebook linear-algebra machine-learning matrix numpy

Last synced: 16 May 2025

https://github.com/megengine/megcc

MegCC是一个运行时超轻量，高效，移植简单的深度学习模型编译器

arm compiler deep-learning high-performance machine-learning mlir model-compiler

Last synced: 15 May 2025

https://github.com/abess-team/abess

Fast Best-Subset Selection Library

best-subset-selection classification-algorithm cox-regression feature-selection high-dimensional-data linear-regression logistic-regression machine-learning multitask-learning ordinal-regression poisson-regression polynomial-algorithm principal-component-analysis python r robust-principal-component-analysis scikit-learn sparse-principal-component-analysis sure-independence-screening

Last synced: 15 May 2025

https://github.com/AnacletoLAB/grape

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

graph high-performance knowledge-graph machine-learning

Last synced: 30 Mar 2025

https://github.com/materialsvirtuallab/megnet

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

deep-learning graph-networks keras machine-learning materials-science tensorflow

Last synced: 07 Oct 2025

https://github.com/CeON/CERMINE

Content ExtRactor and MINEr

affiliation-parsing java machine-learning metadata-extraction pdf reference-parsing

Last synced: 16 Nov 2025

https://github.com/towhee-io/examples

Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.

audio-classification cross-modal embeddings image-classification machine-learning nlp video-tagging

Last synced: 04 Apr 2025

https://github.com/wilsonrljr/sysidentpy

A Python Package For System Identification Using NARMAX Models

data-science dynamical-systems machine-learning narmax narx system-identification time-series

Last synced: 01 Mar 2026

https://github.com/proycon/pynlpl

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

computational-linguistics evaluation-metrics folia language-modelling library linguistics machine-learning natural-language-processing nlp nlp-library python search-algorithms text-processing

Last synced: 16 May 2025

https://github.com/chengchingwen/transformers.jl

Julia Implementation of Transformer models

attention deep-learning flux machine-learning natural-language-processing nlp transformer

Last synced: 16 May 2025

https://github.com/kohjingyu/fromage

🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".

computer-vision large-language-models machine-learning natural-language-processing

Last synced: 02 Feb 2026

https://github.com/h2oai/mli-resources

H2O.ai Machine Learning Interpretability Resources

accountability data-mining data-science explainable-ml fairness fatml h2o iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml jupyter-notebooks machine-learning machine-learning-interpretability mli python transparency xai xgboost

Last synced: 05 Apr 2025

https://github.com/aws-samples/aws-ml-enablement-workshop

組織横断的にチームを組成し、機械学習による成長サイクルを実現する計画を立てるワークショップ

amazon-sagemaker-lab machine-learning

Last synced: 15 Apr 2025

https://github.com/chengchingwen/Transformers.jl

Julia Implementation of Transformer models

attention deep-learning flux machine-learning natural-language-processing nlp transformer

Last synced: 04 May 2025

https://github.com/salu133445/muspy

A toolkit for symbolic music generation

audio machine-learning music music-generation music-information-retrieval python

Last synced: 14 May 2025

https://github.com/eyucoder/chatgpt-pro

ChatGPT-Pro is an advanced application that combines the power of ChatGPT and DALL.E.

ai-bot chatgpt chatgpt-clone conversational-ai daisyui dall-e dalle2 dallegenerator gpt gpt-3 gpt-4 image-generation machine-learning ml openai react tailwind tailwindcss text-davinci-003 transformer

Last synced: 21 Apr 2025

https://github.com/michael-a-kuykendall/shimmy

⚡ Python-free Rust inference server — OpenAI-API compatible. GGUF + SafeTensors, hot model swap, auto-discovery, single binary. FREE now, FREE forever.

api-server command-line-tool developer-tools gguf huggingface huggingface-models huggingface-transformers inference-server llama llamacpp llm-inference local-ai lora machine-learning ollama-api openai-compatible rust rust-crate transformers