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

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.

https://github.com/TomaszRewak/ML-games

Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.

game game-engine genetic-algorithm machine-learning machine-learning-games neural-network reinforcement-learning

Last synced: 16 Mar 2025

https://github.com/materialsvirtuallab/m3gnet

Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.

deep-learning graph machine-learning materials-science neural-network

Last synced: 14 Apr 2025

https://github.com/andrewkchan/yalm

Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O

cpp cuda inference-engine llama llamacpp llm llm-inference machine-learning mistral

Last synced: 12 Apr 2025

https://github.com/google-deepmind/kfac-jax

Second Order Optimization and Curvature Estimation with K-FAC in JAX.

bayesian-deep-learning machine-learning optimization

Last synced: 14 Dec 2025

https://github.com/audeering/opensmile-python

Python package for openSMILE

audio feature-extraction machine-learning

Last synced: 10 Jun 2025

https://github.com/deployKF/deployKF

deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.

argocd artificial-intelligence gitops kubeflow kubernetes machine-learning mlops

Last synced: 06 May 2025

https://github.com/softcatala/open-dubbing

Open dubbing is an AI dubbing system which uses machine learning models to automatically translate and synchronize audio dialogue into different languages.

automatic-dubbing dubbing machine-learning translate-video

Last synced: 12 Jan 2026

https://github.com/sinanuozdemir/quick-start-guide-to-llms

The Official Repo for "Quick Start Guide to Large Language Models"

ai bert deepseek distillation generative-ai gpt llama-4 llm machine-learning multimodal nlp quantization rag

Last synced: 16 May 2025

https://github.com/GRAAL-Research/deepparse

Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning

addresses-parsing machine-learning python

Last synced: 05 Apr 2025

https://github.com/FlorianMarquardt/machine-learning-for-physicists

Code for "Machine Learning for Physicists" lecture series by Florian Marquardt

lectures machine-learning

Last synced: 27 Mar 2025

https://github.com/stocknear/backend

Backend of stocknear - Open Source Stock Analysis

data data-science fastapi fastify finance javascript machine-learning nodejs pocketbase python redis

Last synced: 16 May 2025

https://github.com/DerrickXuNu/v2x-vit

[ECCV2022] Official Implementation of paper "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer"

3d-object-detection autonomous-driving collaborative-perception computer-vision deep-learning machine-learning multi-agent-system pytorch simulation v2x vehicle-to-everything vision-transformer

Last synced: 20 Mar 2025

https://github.com/aakashkumarnain/tf_jax_tutorials

All about the fundamental blocks of TF and JAX!

deep-learning jax machine-learning python tensorflow tutorials

Last synced: 19 Jul 2025

https://github.com/googlecloudplatform/document-ai-samples

Sample applications and demos for Document AI, the end-to-end document processing platform on Google Cloud

document-understanding machine-learning ocr pdf python samples

Last synced: 16 May 2025

https://github.com/agencyenterprise/promptinject

PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML Safety Workshop 2022

adversarial-attacks agi agi-alignment ai-alignment ai-safety chain-of-thought gpt-3 language-models large-language-models machine-learning ml-safety prompt-engineering

Last synced: 05 Apr 2025

https://github.com/agencyenterprise/PromptInject

PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML Safety Workshop 2022

adversarial-attacks agi agi-alignment ai-alignment ai-safety chain-of-thought gpt-3 language-models large-language-models machine-learning ml-safety prompt-engineering

Last synced: 28 Mar 2025

https://github.com/kraina-ai/srai

Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks

artificial-intelligence data-science geo geospatial machine-learning python spatial spatial-analysis srai

Last synced: 15 May 2025

https://github.com/shivaylamba/hacktoberfest

Make your first PR! ~ A beginner friendly repository made specifically for open source beginners. Add any program under any language (it can be anything from a hello-world program to a complex data structure algorithm) or update the existing one. Just make sure you add the program under the correct language directory. Happy coding

cpp css dev developer digitalocean github hacktoberfest hacktoberfest2019 hacktoberfest2020 html java javascript machine-learning

Last synced: 15 May 2025

https://github.com/evllabs/JGAAP

The Java Graphical Authorship Attribution Program

authorship-attribution java machine-learning machine-learning-library stylometry

Last synced: 16 Nov 2025

https://github.com/jimfleming/recurrent-entity-networks

TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".

deep-learning machine-learning natural-language-processing recurrent-neural-networks tensorflow

Last synced: 19 Jul 2025

https://github.com/rouyang2017/SISSO

A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.

big-data-analytics compressed-sensing machine-learning material-science symbolic-regression

Last synced: 04 May 2025

https://github.com/projectglow/glow

An open-source toolkit for large-scale genomic analysis

delta genomics gwas machine-learning population-genetics regression spark

Last synced: 21 Oct 2025

https://github.com/HusseinYoussef/Arabic-OCR

OCR system for Arabic language that converts images of typed text to machine-encoded text.

arabic character-segmentation computer-vision dataset image-processing machine-learning neural-network ocr opencv-python scikit-learn segmentation

Last synced: 02 Apr 2025

https://github.com/cool-rr/marley

A framework for multi-agent reinforcement learning.

ai hacktoberfest keras machine-learning python q-learning reinforcement-learning tensorflow

Last synced: 05 Apr 2025

https://github.com/qzed/irl-maxent

Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python

inverse-reinforcement-learning machine-learning maximum-entropy

Last synced: 05 Apr 2025

https://github.com/jinglescode/time-series-forecasting-pytorch

Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM

deep-learning lstm-model machine-learning neural-network python pytorch time-series-forecasting

Last synced: 06 Apr 2025

https://github.com/cool-RR/marley

A framework for multi-agent reinforcement learning.

ai hacktoberfest keras machine-learning python q-learning reinforcement-learning tensorflow

Last synced: 01 May 2025

https://github.com/facebookresearch/stopes

A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team.

dataset dataset-generation machine-learning machine-translation machine-translation-data-processing nmt translation

Last synced: 15 May 2025

https://github.com/WenjieDu/SAITS

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

attention attention-mechanism deep-learning imputation imputation-model impute incomplete-data incomplete-time-series interpolation irregular-sampling machine-learning missing-values partially-observed partially-observed-data partially-observed-time-series pytorch self-attention time-series time-series-imputation transformer

Last synced: 01 Apr 2025

https://github.com/oaid/caffe-hrt

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

arm arm-compute-library arm-gpu arm-neon artificial-intelligence caffe cnn dnn machine-learning

Last synced: 05 Apr 2025

https://github.com/OAID/Caffe-HRT

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

arm arm-compute-library arm-gpu arm-neon artificial-intelligence caffe cnn dnn machine-learning

Last synced: 15 Mar 2025

https://github.com/OAID/CaffeOnACL

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

arm arm-compute-library arm-gpu arm-neon artificial-intelligence caffe cnn dnn machine-learning

Last synced: 13 Mar 2025

https://github.com/evanli/programming-book-3

Programming books 3: Python、 Machine-Learning、 Deep-Learning、 NLP

books deep-learning machine-learning nlp python

Last synced: 09 Apr 2025

https://github.com/ultralytics/xview-yolov3

xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.

challenge deep-learning machine-learning ultralytics xview xview-2018 yolov3 yolov3-training

Last synced: 16 May 2025

https://github.com/antonvladyka/neuralnetworksanddeeplearning.com.pdf

LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)

deep-learning latex machine-learning neural-network neural-networks

Last synced: 09 Aug 2025

https://github.com/JuliaGaussianProcesses/KernelFunctions.jl

Julia package for kernel functions for machine learning

gaussian-processes kernel-functions kernels machine-learning

Last synced: 27 Mar 2025

https://github.com/gokumohandas/fast-weights

🏃 Implementation of Using Fast Weights to Attend to the Recent Past.

machine-learning tensorflow

Last synced: 13 Apr 2025

https://github.com/juliagaussianprocesses/kernelfunctions.jl

Julia package for kernel functions for machine learning

gaussian-processes kernel-functions kernels machine-learning

Last synced: 16 Jan 2026

https://github.com/roboflow/roboflow-100-benchmark

Code for replicating Roboflow 100 benchmark results and programmatically downloading benchmark datasets

computer-vision dataset deep-learning machine-learning object-detection pytorch

Last synced: 16 May 2025

https://github.com/patrick-kidger/signatory

Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)

deep-learning deep-neural-networks logsignature logsignatures machine-learning pytorch rough-paths signature signatures

Last synced: 17 Nov 2025

https://github.com/30lm32/ml-projects

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

ab-testing deep-learning docker gensim geolocation imbalanced-data kdtree keras lstm-neural-networks machine-learning mlflow nlp random-forest spam-classification svm tensorboard tensorflow text-classification timeseries-analysis word2vec

Last synced: 08 May 2025

https://github.com/neuml/txtchat

💭 Retrieval augmented generation (RAG) and language model powered search applications

large-language-models llm machine-learning nlp python rag retrieval-augmented-generation search txtai

Last synced: 31 Oct 2025

https://github.com/sotopia-lab/sotopia

Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)

large-language-models llm-agent machine-learning reinforcement-learning-environments

Last synced: 11 Feb 2026

https://github.com/parthsarthi03/raptor

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

agents clustering framework language-model llm machine-learning rag retrieval retrieval-augmented-generation vector-database

Last synced: 06 Mar 2025

https://github.com/erilyth/DeepLearning-Challenges

Codes for weekly challenges on Deep Learning by Siraj

computer-vision deep-learning machine-learning neural-networks

Last synced: 19 Jul 2025

https://github.com/rameshaditya/scoper

Fuzzy and semantic search for captioned YouTube videos.

fuzzy-search machine-learning ml nlp search search-algorithm semantic youtube youtube-api

Last synced: 10 Apr 2025

https://github.com/jonnor/embeddedml

Notes on Machine Learning on edge for embedded/sensor/IoT uses

embedded-systems machine-learning microcontroller sensor-data sensor-network tinyml

Last synced: 12 Apr 2025

https://github.com/ColasGael/Machine-Learning-for-Solar-Energy-Prediction

Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning

data-processing machine-learning matlab neural-network python tensorflow

Last synced: 07 May 2025

https://github.com/asappresearch/flambe

An ML framework to accelerate research and its path to production.

deep-learning distributed machine-learning ml python pytorch research

Last synced: 08 Sep 2025

https://github.com/GHamrouni/Recommender

A C library for product recommendations/suggestions using collaborative filtering (CF)

c collaborative-filtering machine-learning recommendation-engine

Last synced: 13 Mar 2025

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: 11 May 2025

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: 09 Apr 2025

https://github.com/inejc/painters

:art: Winning solution for the Painter by Numbers competition on Kaggle.

competition deep-learning kaggle machine-learning neural-networks

Last synced: 22 Jan 2026

https://github.com/dalmia/siren

PyTorch implementation of Sinusodial Representation networks (SIREN)

activation-functions deep-learning machine-learning pytorch

Last synced: 06 Apr 2025

https://github.com/nikhilbarhate99/min-decision-transformer

Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym

deep-learning deep-reinforcement-learning machine-learning mujoco offline-reinforcement-learning openai-gym pytorch pytorch-transformers reinforcement-learning robotics transformer

Last synced: 13 Apr 2025

https://github.com/eugeneyan/testing-ml

🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.

machine-learning model-evaluation testing

Last synced: 09 Apr 2025

https://github.com/dwhitena/gophernet

A simple from-scratch neural net written in Go

artificial-intelligence data-science go golang machine-learning neural-network

Last synced: 13 Sep 2025

https://github.com/benchopt/benchopt

Making your benchmark of optimization algorithms simple and open

benchmark julia-language machine-learning optimization optimization-methods python rlang

Last synced: 15 May 2025