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)
Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
A collection of infrastructure and tools for research in neural network interpretability.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to...
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
Build local voice agents with open-source models
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
Repair malformed JSON from LLMs, APIs, logs, and user input in Python.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
Data augmentation for NLP
A Rust machine learning framework.
Next generation of automated data exploratory analysis and visualization platform.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Curated list of Python resources for data science.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence conc...
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
🕵 Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**
Bindu: Turn any AI agent into a living microservice - interoperable, observable, composable.
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs...
🤗 AutoTrain Advanced
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Machine learning, computer vision, statistics and general scientific computing for .NET
On-device AI across mobile, embedded and edge for PyTorch
Tengine is a lite, high performance, modular inference engine for embedded device
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Merlion: A Machine Learning Framework for Time Series Intelligence
a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Probabilistic reasoning and statistical analysis in TensorFlow
Plain python implementations of basic machine learning algorithms
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Visual analysis and diagnostic tools to facilitate machine learning model selection.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Papers on Computational Advertising
A JavaScript deep learning and reinforcement learning library.
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Serve, optimize and scale PyTorch models in production
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Learn AI/ML for beginners with a roadmap and free resources.
Must-read papers on prompt-based tuning for pre-trained language models.
NeuralProphet: A simple forecasting package
Data Science Roadmap from A to Z
Repository which contains links and resources on different topics of Computer Science.
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Collection of useful data science topics along with articles, videos, and code