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LLMs-from-scratch项目中文翻译
主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题
Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepowe…
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
AI assisted programming in Emacs with Aider
Neural Networks: Zero to Hero
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A python library for Bayesian time series modeling
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Lime: Explaining the predictions of any machine learning classifier
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Integration of TensorFlow with other open-source frameworks
For the latest version of boto, see https://github.com/boto/boto3 -- Python interface to Amazon Web Services
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
AndroidPhotoFilters aims to provide fast, powerful and flexible image processing instrument for creating awesome effects on any image media.
LIBSVM -- A Library for Support Vector Machines
Models and examples built with TensorFlow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Apache Superset is a Data Visualization and Data Exploration Platform
Let's learn a new technology every week. A new technology blog every Sunday in 2016.
Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code…
Source Code for the book: Machine Learning in Action published by Manning
A curated list of awesome Machine Learning frameworks, libraries and software.
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.