TranslatedLearn Python by writing code
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60,121 visible repositories in the index
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TranslatedLearn Python by writing code
TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching
Notebooks and code for the book "Introduction to Machine Learning with Python"
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Image restoration with neural networks but without learning.
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.
Playing Pokemon Red with Reinforcement Learning
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
this repository accompanies the book "Grokking Deep Learning"
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!
Sweep: AI coding assistant for JetBrains
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Using Low-rank adaptation to quickly fine-tune diffusion models.
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.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
Repository to store sample python programs for python learning
The "Python Machine Learning (2nd edition)" book code repository and info resource
Python code for "Probabilistic Machine learning" book by Kevin Murphy
TranslatedChinese Python notes