Feature selector is a tool for dimensionality reduction of machine learning datasets
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Chess reinforcement learning by AlphaGo Zero methods.
- reinforcement-learning
- keras
- alphago-zero
- tensorflow
Course materials and handouts for #100DaysOfCode in Python course
- 100daysofcode
- python
- python3
- learn-to-code
《统计学习方法》笔记-基于Python算法实现
- python
- statistical-learning
Code for Stanford CS224u
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Logica is a logic programming language that compiles to SQL. It runs on DuckDB, Google BigQuery, PostgreSQL and SQLite.
Repository containing notebooks of my posts on Medium
零知识证明入门教程。Comprehensive Zero-Knowledge Proofs Tutorial. #zk #WIP
- abstract-algebra
- bitcoin
- blockchain
- cryptography
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
- pytorch
- stochastic-differential-equations
- inverse-problems
- generative-models
The Numenta Anomaly Benchmark
PyMC educational resources
- bayesian-inference
- bayesian-statistics
- data-science
- data-analysis
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
- nlp
- visualization
- explorables
- natural-language-processing
Text and code for the second edition of Think Bayes, by Allen Downey.
- jupyter
- python
- bayes
- bayesian-statistics
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
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
- natural-language-processing
- nlp
- pytorch-nlp
- pytorch
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
- large-language-models
- prompt-engineering
- gpt-3
- gpt3-prompts
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
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
A replica of the AlphaZero methodology for deep reinforcement learning in Python
Let us democratise high-resolution generation! (CVPR 2024)
- aigc
- high-resolution
- low-resource
- stable-diffusion
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
- deep-learning
- evaluation
- foundation-models
- instruction-following
[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