machine-learning

This repo contains annotated research papers that I found really good and useful

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

🎁 7,400,000+ Unsplash images made available for research and machine learning

A list of awesome compiler projects and papers for tensor computation and deep learning.

A Deep Learning Recommender System

Images to inference with no labeling (use foundation models to train supervised models).

Unsupervised Learning for Image Registration

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)

Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

Machine learning tools in JavaScript

Control Any Computer Using LLMs.

Multi-tool for semantic search

A unified framework for privacy-preserving data analysis and machine learning

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

MLNLP：本仓库整理人工智能会议（如 ACL、EMNLP、NAACL、COLING、AAAI、IJCAI、ICLR、NeurIPS、ICML 等）中开源代码的论文。

Pen and paper exercises in machine learning

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

Resource scheduling and cluster management for AI

A toolkit to run Ray applications on Kubernetes

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

Algorithms for explaining machine learning models

computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）

✨ Build a machine learning model from a prompt

Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.

Machine learning platform for Web developers

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Puzzles for learning Triton

Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue.