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)
Bayesian inference with probabilistic programming.
Feature engineering and selection open-source Python library compatible with sklearn.
Basic Utilities for PyTorch Natural Language Processing (NLP)
A Python package to assess and improve fairness of machine learning models.
An open source library and framework for deep learning on satellite and aerial imagery.
Curated list: Resources for machine learning in Ruby
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
Codes/Notebooks for AI Projects
🏕️ Reproducible development environment for humans and agents
Fast ML inference & training for ONNX models in Rust
A high-level machine learning and deep learning library for the PHP language.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Reformer, the efficient Transformer, in Pytorch
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowle...
TFX is an end-to-end platform for deploying production ML pipelines
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
UnrealCV: Connecting Computer Vision to Unreal Engine
🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
Official repository of the xLSTM.
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
Repository containing notebooks of my posts on Medium
nannyml: post-deployment data science in python
This repository helps you learn Python and Machine Learning from scratch.
C++ Implementation of PyTorch Tutorials for Everyone
An open-source Python framework for hybrid quantum-classical machine learning.
The Operator Splitting QP Solver
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare m...
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
Awesome machine learning for combinatorial optimization papers.
JAX - A curated list of resources https://github.com/google/jax
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing...
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
A proof-of-concept jupyter extension which converts english queries into relevant python code
A simple interface for editing natural photos with generative neural networks.
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
A Node.js CLI that uses Ollama and LM Studio models (Llava, Gemma, Llama etc.) to intelligently rename files by their contents
Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral...
Open-source AI-driven quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent researc...
Collection of advice for prospective and current PhD students
Machine Learning Course, Sharif University of Technology
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Keras model of NSFW detector
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
机器学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual