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Handout for the tutorial "Creating publication-quality figures with matplotlib"
《统计学习方法》笔记-基于Python算法实现
- python
- statistical-learning
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
- evaluation
- evaluation-metrics
- guidebook
- large-language-models
Logica is a logic programming language that compiles to SQL. It runs on DuckDB, Google BigQuery, PostgreSQL and SQLite.
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
- machine-learning
- statistical-learning-method
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
- stock-market
- stock-analysis
- trading-strategies
- technical-analysis
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
- quantum-algorithms
- quantum-software
- quantum-applications
- quantum-open-source
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
- machine-learning-projects
- projects
- ml-project
- python-project
A replica of the AlphaZero methodology for deep reinforcement learning in Python
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
- deep-learning
- vision-transformer
- bert-model
- bert
Code, Notebooks and Examples from Practical Business Python
- python
- pandas
- datascience
- scikit-learn
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
- deep-learning
- bayesian-inference
- pytorch
- reproducible-research
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
DeepStream SDK Python bindings and sample applications
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
- deep-learning
- artificial-neural-networks
- continual-learning
- lifelong-learning
A comprehensive guide to building RAG-based LLM applications for production.
- llms
- machine-learning
- ray
- anyscale
Practical course about Large Language Models.
- chatbots
- hf
- huggingface
- langchain
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
- deep-learning
- machine-learning
- stock-price-prediction
- features-extraction
DL course co-developed by YSDA, HSE and Skoltech
- deep-learning
- course
- course-materials
- theano
A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications.
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
Notebooks covering mathematical analysis of ZKP building blocks, algorithm implementations of various proof systems, and protocol optimization techniques.
《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。
- machine-learning
- deep-learning
- artificial-intelligence
- theoretical-machine-learning