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: 2026-07-05 00:14:34 UTC
- JSON Representation
https://github.com/timetoai/timediffusion
Unified Framework for Multiple Time Series Tasks
data-science deep-learning deep-neural-networks framework machine-learning machine-learning-algorithms multi-task multi-task-architecture multiple-tasks open-source pypi-package python python3 pytorch pytorch-implementation time-series time-series-forecasting time-series-imputation time-series-prediction time-series-simulation
Last synced: 10 Apr 2025
https://github.com/arabian9ts/ssd300
Single Shot MultiBox Detector implemented with TensorFlow
deep-learning detection-network machine-learning recognizer single-shot-multibox-detector ssd
Last synced: 05 May 2025
https://github.com/infocusp/llm_seminar_series
Material for the series of seminars on Large Language Models
course large-language-models llm machine-learning roadmap seminar
Last synced: 27 Mar 2025
https://github.com/rylanschaeffer/stanford-ai-alignment-double-descent-tutorial
Code for Arxiv Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle
deep-learning double-descent machine-learning
Last synced: 29 Oct 2025
https://github.com/yandexdataschool/idao-2019-muon-id
Problem for IDAO 2019 on LHCb Muon Identification
competitive-programming data-science high-energy-physics lhcb machine-learning
Last synced: 10 Apr 2025
https://github.com/larq/zookeeper
A small library for managing deep learning models, hyperparameters and datasets
command-line-interface deep-learning hyperparameter keras machine-learning python tensorflow tensorflow-datasets
Last synced: 25 Jun 2025
https://github.com/conservationtechlab/animl-r
Animl comprises a variety of machine learning tools for analyzing ecological data. The package includes a set of functions to classify subjects within camera trap field data and can handle both images and videos.
deep-learning machine-learning
Last synced: 04 Feb 2026
https://github.com/bartczernicki/MachineIntelligence-TextAnalytics-TPLDataFlows
Machine Intelligence using OpenAI, Semantic Kernel, Vector Search, SQL Server
dotnet-core machine-intelligence machine-learning openai semantic-kernel sql-server text-analytics
Last synced: 03 Apr 2025
https://github.com/wassim249/tig_mi
Think.ai hackathon winner project : Moroccan interior design generator
1337 artificial-intelligence controlnet deep-learning diffusion-models hackathon huggingface machine-learning morocco python um6p
Last synced: 06 Mar 2026
https://github.com/rodrigobressan/keras-multi-output-model-utk-face
Exploring Keras functional API to build a multi-output model to predict race, gender and sex on UTK Face dataset.
deep-learning keras machine-learning multi-output-networks utkface
Last synced: 03 Oct 2025
https://github.com/urigoren/nlp_classification_workshop
NLP Classification Workshop
machine-learning nlp nlp-machine-learning text-classification
Last synced: 15 Jul 2025
https://github.com/qiwihui/smsfilters
基于机器学习的 iOS 中文垃圾短信过滤 App
ios-app ios-swift jieba machine-learning message-filtering swift swift4
Last synced: 29 Aug 2025
https://github.com/cdpierse/pyinfer
Pyinfer is a model agnostic tool for ML developers and researchers to benchmark the inference statistics for machine learning models or functions.
developer-tools inference inference-stats machine-learning python
Last synced: 24 Jul 2025
https://github.com/bgroenks96/normalizing-flows
Implementations of normalizing flows using python and tensorflow
data-science machine-learning machine-learning-algorithms normalizing-flows
Last synced: 09 Mar 2026
https://github.com/launchplatform/marketplace
Marketplace ML experiment - training without backprop
experimental machine-learning research
Last synced: 04 Oct 2025
https://github.com/wbasener/bayesianml
This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
bayesian bayesian-inference bayesian-machine-learning machine-learning python
Last synced: 16 Jan 2026
https://github.com/sashakolpakov/dire-jax
DImensionality REduction in JAX
cpu data-science data-visualization dimensionality-reduction embeddings gpu jax machine-learning pca random-projection tpu tsne umap vector-embeddings
Last synced: 04 Oct 2025
https://github.com/jstriaukas/midasmlpy
Python implementation of the midasml approach
forecasting-models machine-learning midas-regression mixed-frequency-data nowcasting-models sparse-group-lasso time-series
Last synced: 16 Jan 2026
https://github.com/dorukkarinca/keras-buoy
Keras wrapper that autosaves what ModelCheckpoint cannot.
autosave checkpointing colab colab-automation colab-notebook colaboratory data-science keras machine-learning
Last synced: 04 Oct 2025
https://github.com/github/mlops
Use GitHub to facilitate automation, collaboration and reproducibility in your machine learning workflows.
actions cicd data-science devops-tools machine-learning mlops pages primer primer-design
Last synced: 04 Oct 2025
https://github.com/tomasreimers/tfjs
A wrapper for the TensorFlow.js library.
javascript machine-learning tensorflow
Last synced: 26 Sep 2025
https://github.com/nimblehq/growth
Knowledge sharing and hacking sessions at Nimble
android augmented-reality elixir ios javascript kotlin machine-learning ruby swift
Last synced: 11 Nov 2025
https://github.com/dabit3/amplify-ml-ai-predictions-example
This is a general overview of the Predictions category of Amplify. It shows examples of Machine Learning and AI service integration in a React app with AWS Amplify Predictions category
ai aws aws-amplify machine-learning polly rekognition serverless transcribe
Last synced: 17 Nov 2025
https://github.com/abbey2017/wind-energy-analytics
Physics-guided data-driven solutions for the wind energy industry
artificial-intelligence machine-learning wind-energy wind-energy-analytics wind-turbine
Last synced: 05 Apr 2026
https://github.com/brandondocusen/cntxtcs
A lightweight tool to optimize your C# project for LLM context windows by using a knowledge graph | Code structure visualization | Static analysis for AI | Large Language Model tooling | .NET ecosystem support #LLM #AI #CSharp #DotNet #CodeAnalysis #ContextWindow #DeveloperTools
architecture-insights code-documentation code-visualization codebase-analysis context-management context-window csharp dependency-analysis dependency-mapping developer-tools dotnet knowledge-graph large-language-models llm llm-integration machine-learning module-relationships open-source python token-reduction
Last synced: 05 May 2025
https://github.com/devinterview-io/python-ml-interview-questions
🟣 Python ML interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.
ai-interview-questions coding-interview-questions coding-interviews data-science data-science-interview data-science-interview-questions data-scientist-interview interview-practice interview-preparation machine-learning machine-learning-and-data-science machine-learning-interview machine-learning-interview-questions python-ml python-ml-interview-questions python-ml-questions python-ml-tech-interview software-engineer-interview technical-interview-questions
Last synced: 05 May 2025
https://github.com/timbmg/structured-self-attentive-sentence-embedding
Re-Implementation of "A Structured Self-Attentive Sentence Embedding" by Lin et al., 2017
attention deep-learning machine-learning neural-networks nlp pytorch recurrent-neural-networks self-attention self-attentive-rnn sentiment-analysis text-classification vizualisation yelp-dataset
Last synced: 16 Mar 2025
https://github.com/snigdho8869/multiclass-text-classification
Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.
adaboost-classifier bert-fine-tuning cnn-model deep-learning ensemble-learning flask flask-application gradient-boosting-classifier gru keras-tensorflow logistic-regression machine-learning natural-language-processing neural-network nlp random-forest-classifier rnn-lstm support-vector-machines text-classification xlnet-fine-tuning
Last synced: 13 Jun 2025
https://github.com/chamathpali/fedsim
Similarity Guided Model Aggregation for Federated Learning
deep-learning federated-learning machine-learning privacy-preserving-machine-learning
Last synced: 18 Jun 2025
https://github.com/akimach/gestureai
RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.
coreml dataset deep-learning deep-neural-networks demo ios keras keras-models keras-tensorflow machine-learning python python-2 recurrent-nerural-network rnn tensorflow
Last synced: 09 Apr 2025
https://github.com/tanaybhadula/malware-image-detection
A deep learning project which uses a method that converts malware .bytes files into gray-scale images and uses a CNN deep learning model to classify the converted malware image and identify the malware family it belongs to.
classification cnn cybersecurity deep-learning keras machine-learning malware python scipy tensorflow
Last synced: 23 Mar 2025
https://github.com/sedflix/deepcoherence
(most probably incorrect implementation of) Text Coherence Analysis Based on Deep Neural Network
coherence-analysis deep-coherence-model deep-learning machine-learning natural-language-processing sentence-odering text-coherence
Last synced: 13 Mar 2026
https://github.com/mind-the-pineapple/sklearn-rvm
An sklearn style implementation of the Relevance Vector Machine (RVM).
machine-learning relevance-vector-machine scikit-learn sklearn
Last synced: 24 Oct 2025
https://github.com/bdwilliamson/vimp
Perform inference on algorithm-agnostic variable importance
machine-learning nonparametric-statistics statistical-inference variable-importance
Last synced: 20 Feb 2026
https://github.com/gmum/mldd23
The repository for the course "Machine Learning in Drug Design" taught at the Jagiellonian University in 2023. The page is hosted by the machine learning research group GMUM.
cheminformatics computer-aided-drug-design deep-learning drug-design drug-discovery machine-learning pharmacoinformatics
Last synced: 07 Feb 2026
https://github.com/laactechnology/foxcross
AsyncIO serving for data science models
async data-science dataframe http machine-learning pandas python pytorch rest-api scikit-learn serving
Last synced: 14 Mar 2026
https://github.com/tesslerc/ml-papers-tldr
A summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.
deep-learning deep-neural-networks gan machine-learning reinforcement-learning
Last synced: 30 Jan 2026
https://github.com/sibyl-dev/pyreal
An easier approach to using and understanding ML models
explainable-ai machine-learning python xai
Last synced: 04 Apr 2026
https://github.com/cuuupid/parkinsons-ai
Detect Parkinsons using XGBoost and NN's, see Medium article for in-depth
dataset jupyter machine-learning parkinson parkinsons-detection xgboost
Last synced: 05 May 2025
https://github.com/sarthfrey/ensemble
Combine models, easily. 🚀
ensemble-learning infrastructure machine-learning modeling-tool python3
Last synced: 06 Apr 2026
https://github.com/rileynwong/spotify-analysis
Data analysis on my monthly playlists
audio-features data-analysis data-scraping lyrics machine-learning natural-language-processing nlp nlp-machine-learning sentiment-analysis spotify-analysis supervised-learning supervised-machine-learning text text-analysis
Last synced: 12 Apr 2025
https://github.com/leandromineti/ml-journey
A curated collection of free learning resources on topics related to Machine Learning.
artificial-intelligence machine-learning mathematics statistics
Last synced: 09 Apr 2025
https://github.com/open-eo/fusets
Time series Fusion toolbox integrated with openEO
ai4food artificial-intelligence earth-observation machine-learning openeo
Last synced: 12 Apr 2025
https://github.com/kyegomez/mhmoe
Community Implementation of the paper: "Multi-Head Mixture-of-Experts" In PyTorch
ai artificial-intelligence attention chicken machine-learning ml moe transformers
Last synced: 07 May 2025
https://github.com/victorqribeiro/digitrecognition
Implementation of a digit recognition using my Neural Network with the MNIST data set.
classification javascript machine-learning mnist multilayer-perceptron neural-network
Last synced: 05 May 2025
https://github.com/ait-aecid/aecid-alert-aggregation
A method for grouping, clustering, and merging semi-structured alerts
alert-aggregation alerts clustering hids ids intrusion-detection json log-data logs machine-learning meta-alerts nids semi-structured similarity unsupervised
Last synced: 10 Sep 2025
https://github.com/samuelstjean/nlsam
The reference implementation for the Non Local Spatial and Angular Matching (NLSAM) denoising algorithm for diffusion MRI
denoising-algorithm diffusion-mri machine-learning python
Last synced: 02 Mar 2026
https://github.com/jameslamb/talks
Conference talks, meetup talks, and misc. writing
conference-talk data-science machine-learning open-source presentations python r
Last synced: 06 Sep 2025
https://github.com/loony-bean/fastapprox-rs
Rust version of fastapprox: approximate versions of functions commonly used in machine learning.
approximation dsp machine-learning rust vowpalwabbit
Last synced: 17 Mar 2026
https://github.com/johnvinyard/zounds
Zounds is a dataflow library for building directed acyclic graphs that transform audio. It uses the featureflow library to define the processing pipelines.
audio dsp machine-learning numpy processing-pipelines signal-processing sound
Last synced: 23 Apr 2025
https://github.com/ahmedosamamath/statistics-basics
A comprehensive guide to applying statistical techniques in machine learning, including data preprocessing, model development, evaluation metrics, and real-world applications. This repository provides beginner-to-advanced insights into the statistical foundations of machine learning.
artificial-intelligence data-analysis data-science machine-learning statistics
Last synced: 12 Apr 2025
https://github.com/victorkifer/ecg-af-detection-physionet-2017
AF Classification from a short single lead ECG recording: the PhysioNet/Computing in Cardiology Challenge 2017
atrial-fibrillation ecg machine-learning physionet qrs-detection
Last synced: 27 Jul 2025
https://github.com/dennishnf/cnn-hand-gesture-interface
Hand gesture interface for Desktop PC and Raspberry Pi.
caffe-framework computer-vision convolutional-neural-networks deep-learning embedded-systems hand lenet-5 machine-learning pose-estimation raspberry-pi
Last synced: 14 Jul 2025
https://github.com/code2k13/feed-visualizer
Feed Visualizer creates interactive visualizations by clustering RSS/Atom feed items based on semantic similarity. Feed Visualizer also attempts to automatically predict the labels for each cluster. This application will create a "semantic summary" of a website's contents by scanning its RSS/Atom feed, allowing for easy discovery and navigation to topics of interest. Feed Visualizer creates interactive visualizations in the form of static HTML and JS files, which may be edited and sent to a server.
artificial-intelligence atom data-science data-visualization machine-learning no-code python rss semantic-similarity visualization
Last synced: 06 May 2025
https://github.com/augustocl/clusteranalysis.jl
Cluster Algorithms from Scratch with Julia Lang. (K-Means and DBSCAN)
algorithms cluster clustering dbscan dbscan-clustering julia k-means k-means-clustering machine-learning
Last synced: 19 Aug 2025
https://github.com/sotetsuk/machine-learning-survey
Personal machine learning surrvey in Japanese
Last synced: 13 Sep 2025
https://github.com/amallia/gaussiannb
Gaussian Naive Bayes (GaussianNB) classifier
gaussian machine-learning ml naive-bayes naive-bayes-algorithm naive-bayes-classifier
Last synced: 01 Aug 2025
https://github.com/mzed/rapidlib
RapidLib is a lightweight library for interactive machine learning.
interactive-machine-learning machine-learning
Last synced: 13 Apr 2025
https://github.com/incubated-geek-cc/Text-To-Speech-App
A Fusion of OCR Technology (Tesseract.js) & Web Speech API. Standalone, portable and works offline.
data-science javascript machine-learning ocr ocr-recognition tesseract tesseract-ocr tesseract-ocr-api tesseractjs webapp
Last synced: 16 Apr 2025
https://github.com/medoidai/skrobot
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
artificial-intelligence data-science feature-engineering feature-selection hyperparameter-tuning machine-learning model-evaluation model-selection model-training model-tuning open-source predictive-modelling python scikit-learn
Last synced: 02 Aug 2025
https://github.com/omarespejel/hugging-face-101-es
Ejercicios para aprender a hacer NLP impulsado por las librerías de Hugging Face.
deep-learning huggingface huggingface-transformers machine-learning nlp
Last synced: 31 Jul 2025
https://github.com/icoxfog417/mlimages
prepare the image data set for machine learning
computer-vision machine-learning
Last synced: 06 Apr 2025
https://github.com/tlverse/causalglm
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
causal-inference causal-learning data-science generalized-linear-models heterogeneous-treatment-effects high-dimensional-inference interpretable-machine-learning machine-learning marginal-structural-models nonparametric-statistics projection r r-package relative-risk-regression robust-statistics semiparametric-estimation statistics targeted-learning treatment-effects working-model
Last synced: 19 Feb 2026
https://github.com/maxim5/cs231n-2020-spring
All notes, slides and assignments for CS231n: Convolutional Neural Networks for Visual Recognition class by Stanford
computer-vision cs231n deep-learning machine-learning stanford-university
Last synced: 18 Feb 2026
https://github.com/lucko515/ml_tutor
Machine Learning Tutor Python library
classification clustering data-science education jupyter-notebook machine-learning python regression tutorials
Last synced: 08 Aug 2025
https://github.com/sinhrks/daskperiment
Reproducibility for Humans: A lightweight tool to perform reproducible machine learning experiment.
dask machine-learning reproducibility
Last synced: 19 Feb 2026
https://github.com/machine-learning-tokyo/mlt-x-fastai
Fast.ai study sessions organized by MLT.
fastai machine-learning study-group tokyo
Last synced: 28 Apr 2025
https://github.com/mbari-org/pacific-sound-notebooks
Juptyer notebook tutorials on using the data in the AWS pacific-sound registry for ocean soundscape research, education, and the arts
acoustics aws bluewhale deep-learning humpback humpback-whale machine-learning marine-data open-access open-data open-datasets open-science python
Last synced: 29 Aug 2025
https://github.com/yuzawa-san/onnxruntime-java
A type-safe, lightweight, modern, and performant binding Java binding of Microsoft's ONNX Runtime
ai-framework deep-learning java machine-learning onnx onnxruntime panama
Last synced: 16 Jan 2026
https://github.com/burnpiro/farm-animal-tracking
Farm Animal Tracking (FAT)
computer-vision deep-learning detection machine-learning recognition siamese-network tensorflow2 tracking
Last synced: 07 Apr 2025
https://github.com/Deyht/CIANNA
Convolutional Interactive Artificial Neural Networks by/for Astrophysicists
astronomy astrophysics convolutional-neural-networks cuda deep-learning deep-neural-networks gpu machine-learning ml neural-network object-detection yolo
Last synced: 20 Apr 2025
https://github.com/dbraun/dac-jax
JAX Implementations of Descript Audio Codec and EnCodec
audio audio-codec audio-compression jax machine-learning
Last synced: 15 Apr 2025
https://github.com/experiencor/online-machine-learning
Implementation of an online learning algorithm to do classification under concept drift
follow-the-regularized-leader machine-learning online-learning-algorithms proximal-regularization
Last synced: 15 Apr 2025
https://github.com/mahmoudparsian/machine-learning-course
Machine Learning Course @ Santa Clara University
clustering data-algorithms kmeans-clustering linear-regression logistic-regression machine-learning pyspark pyspark-algorithms-book santa-clara-university scikit-learn spark spark-ml supervised-learning unsupervised-learning
Last synced: 23 Jun 2025
https://github.com/durner/storn-keras
This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!
deep-learning deep-neural-networks keras machine-learning recurrent-neural-networks stochastic tensorflow theano
Last synced: 03 Sep 2025
https://github.com/mrtkp9993/deeplearningexamples
Deep learning examples with Python and Tensorflow & Keras.
artificial-intelligence classification colab convolutional-neural-networks data-science deep-learning deep-learning-example deep-neural-networks deeplearningexamples dense-neural-network keras machine-learning python python3 regression tensorflow
Last synced: 07 May 2025
https://github.com/kyegomez/mm1
PyTorch Implementation of the paper "MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"
ai artificial-intelligence deep-learning gpt4 machine-learning ml mm1 multi-modal multi-modal-revolution multi-modality
Last synced: 15 Apr 2025
https://github.com/jphall663/diabetes_use_case
Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
data-mining data-science explainable-ml healthcare iml interpretability interpretable-machine-learning interpretable-ml machine-learning machine-learning-interpretability python transparency xai xgboost
Last synced: 19 Jul 2025
https://github.com/rishit-dagli/people-counter-on-edge
Low latency resilient people detection and counting for edge devices
ai deep-learning edge-ai edge-computing ffmpeg-server machine-learning mqtt openvino-toolkit people-counter
Last synced: 05 May 2025
https://github.com/tmptrash/construct
JavaScript Digital Organisms simulator
ai artificial-intelligence bytecode canvas2d digital-organisms distributed-computing distributed-systems es6 evolution-simulation genetic-algorithm genetic-programming javascript linear-genetic-programming machine-learning nodejs opensource programming-language research virtual-machine websockets
Last synced: 09 Jul 2025
https://github.com/adityajn105/mlfromscratch
Library for machine learning where all algorithms are implemented from scratch. Used only numpy.
clustering-algorithm decision-trees ensemble-learning evaluation-metrics from-scratch hacktoberfest hacktoberfest-accepted implementation-of-algorithms linear-models machine-learning machine-learning-algorithms mlfromscratch naive-bayes
Last synced: 11 Jul 2025
https://github.com/pooya-mohammadi/today-i-learned
Today I learned contains Q&A of what I have learned so far. It encompasses topics like: python, deep-learning, cuda-installation, docker, git, linux, etc.
deep-learning docker docker-compose git github linux machine-learning nginx nlp python speech tensorflow ubuntu
Last synced: 17 Jun 2025
https://github.com/anthonymrios/leml
Method for large-scale multi-label classification
big-data machine-learning python
Last synced: 09 Jul 2025
https://github.com/atharvaaalok/deepfusion
A highly modular and customizable Deep Learning framework.
deep-learning machine-learning neural-network python
Last synced: 18 Jul 2025
https://github.com/thalesgroup/conceptbert
Implementation of ConceptBert: Concept-Aware Representation for Visual Question Answering
Last synced: 17 Mar 2025
https://github.com/dvorakdwarf/witness-of-babel
An AI trained trained for the purpose of finding art in the near infinite Canvas of Babel
conceptual convolutional-neural-networks deep-learning machine-learning noise python pytorch
Last synced: 11 Apr 2025
https://github.com/mlr-org/mlr3db
Data Backends to let mlr3 work transparently with (remote) data bases
bigquery data-backend database duckdb machine-learning mariadb mlr3 mysql odbc postgresql r r-package spark sqlite
Last synced: 28 Feb 2026
https://github.com/aleksei-mashlakov/multivariate-deep-learning
This repository contains the source code utilised for the paper: "Assessing the performance of deep learning models for multivariate probabilistic energy forecasting"
datasets forecasting machine-learning time-series
Last synced: 02 Apr 2025
https://github.com/devinterview-io/cnn-interview-questions
🟣 CNN interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.
ai-interview-questions cnn cnn-interview-questions cnn-questions cnn-tech-interview coding-interview-questions coding-interviews data-science data-science-interview data-science-interview-questions data-scientist-interview interview-practice interview-preparation machine-learning machine-learning-and-data-science machine-learning-interview machine-learning-interview-questions software-engineer-interview technical-interview-questions
Last synced: 08 Jan 2026
https://github.com/saltudelft/many-types-4-py-dataset
ManyTypes4Py: A benchmark Python dataset for machine learning-based type inference
benchmark clean dataset machine-learning manytypes4py msr mt4py python type-annotations type-checked type-inference visible-type-hints
Last synced: 01 Feb 2026
https://github.com/waltonfuture/Diff-eRank
Code for https://arxiv.org/abs/2401.17139 (NeurIPS 2024)
evaluation-metrics llm llm-inference machine-learning mllm neurips-2024
Last synced: 19 Jul 2025
https://github.com/joshloyal/dynetlsm
DynetLSM: latent space models for dynamic networks
bayesian-inference dynamic-networks machine-learning network-analysis network-embedding
Last synced: 08 Feb 2026
https://github.com/vessl-ai/tvault
Quickly compare PyTorch models in a local, lightweight registry
deep-learning machine-learning mlops pytorch
Last synced: 04 Sep 2025
https://github.com/jiayuww/spatialeval
[NeurIPS'24] SpatialEval: a benchmark to evaluate spatial reasoning abilities of MLLMs and LLMs
claude foundation-models gemini gpt-4o gpt-4v large-language-models llama3 machine-learning multimodal-deep-learning reasoning spatial-reasoning vision-language-models
Last synced: 04 Sep 2025
https://github.com/da03/residual-ebm
Code for Residual Energy-Based Models for Text Generation in PyTorch.
Last synced: 21 Mar 2025
https://github.com/terrytangyuan/public-talks
Slides, videos, and supporting files for my public talks
cloud-native deep-learning gitops kubernetes machine-learning mlops public-speaking
Last synced: 05 May 2025
https://github.com/hoxo-m/densratio
R Package for Density Ratio Estimation
anomalydetection machine-learning machine-learning-algorithms machine-learning-library r-language r-package statistics
Last synced: 19 Feb 2026
https://github.com/kylecorry31/ml4k-ai-extension
Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.
aix appinventor appinventorextension classification classifier image-classification image-classifier machine-learning machine-learning-for-kids ml4k text-classification text-classifier
Last synced: 30 Jul 2025