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A curated list of awesome self-supervised methods
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
Cost-efficient and pluggable Infrastructure components for GenAI inference
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容
This repository contains the Hugging Face Agents Course.
A Hyperparameter Tuning Library for Keras
Hands-On Data Preprocessing in Python, published by Packt
The Ultimate FREE Machine Learning Study Plan
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to s…
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
Data science interview questions and answers
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A simple method to perform semi-supervised learning with limited data.
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
💫 Industrial-strength Natural Language Processing (NLP) in Python
Study guides for MIT's 15.003 Data Science Tools
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Jupyter notebooks from the scikit-learn video series
tensorflow实战练习，包括强化学习、推荐系统、nlp等
Carefully curated resource links for data science in one place
12 Weeks, 24 Lessons, AI for All!
该仓库尝试整理推荐系统领域的一些经典算法模型
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Best Practices on Recommendation Systems