Automatic extraction of relevant features from time series:
- data-science
- feature-extraction
- time-series
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Automatic extraction of relevant features from time series:
TensorFlow Tutorials with YouTube Videos
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
Repositório do lab "Contribuindo em um Projeto Open Source no GitHub" da Digital Innovation One.
My blogs and code for machine learning. http://cnblogs.com/pinard
TranslatedNotes on data science and collected materials
TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching
TensorFlow examples
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Repo to accompany my mastering LLM engineering course
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Playing Pokemon Red with Reinforcement Learning
TranslatedTensorFlow 2 Chinese tutorials, continuously updated (current version: tensorflow2.0), tag: tensorflow 2.0 tutorials
Inpaint anything using Segment Anything and inpainting models.
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
TranslatedBook_3_"Elements of Mathematics" | Iris Book series: from addition, subtraction, multiplication and division to machine learning; now on sale; corrections are still welcome, and readers who submit many corrections will also receive free books!
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
An annotated implementation of the Transformer paper.
All course materials for the Zero to Mastery Machine Learning and Data Science course.
TranslatedLarge language model knowledge sharing that everyone can understand, a must-read before LLM spring/autumn recruitment interviews, so you can talk confidently with interviewers
Collection of notebooks about quantitative finance, with interactive python code.