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.
Repositories (1414)
TinyML AI inference library
Training PyTorch models with differential privacy
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
Use unsupervised and supervised learning to predict stocks
Notebooks about Bayesian methods for machine learning
A Julia machine learning framework
A timeline of the latest AI models for audio generation, starting in 2023!
Ergonomic machine learning for everyone.
Gaussian processes in TensorFlow
Deep learning in Rust, with shape checked tensors and neural networks
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Pytho...
The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get...
TensorFlow binaries supporting AVX, FMA, SSE
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Req...
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, S...
An unofficial C#/.NET SDK for accessing the OpenAI GPT-3 API
BERT score for text generation
The Self-Coding System for Your App — Alan AI SDK for iOS
Generate pages from any sketch or images.
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It sup...
TensorFlow template application for deep learning
List of awesome resources for machine learning-based algorithmic trading
A Python package for time series classification
Provide an input CSV and a target field to predict, generate a model + code to run it.
Natural Gradient Boosting for Probabilistic Prediction
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8...
A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
Find big moving stocks before they move using machine learning and anomaly detection
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
💫 Models for the spaCy Natural Language Processing (NLP) library
A comprehensive guide to building RAG-based LLM applications for production.
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both im...
Self-contained Machine Learning and Natural Language Processing library in Go
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm
A general-purpose probabilistic programming system with programmable inference
Byzer (former MLSQL): A low-code open-source programming language for data pipeline, analytics and AI.
A drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
Genetic Programming in Python, with a scikit-learn inspired API
Collection of awesome interview references.
A curated list of awesome embedding models tutorials, projects and communities.
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
For extensive instructor led learning
A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
AI on the way. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
Rust library and CLI tool for OCR (extracting text from images)
The Self-Coding System for Your App — Alan AI SDK for Android