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Python - 100天从新手到大师
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A latent text-to-image diffusion model
Learn how to develop, deploy and iterate on production-grade ML applications.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
A game theoretic approach to explain the output of any machine learning model.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
深度学习入门教程, 优秀文章, Deep Learning Tutorial
One has no future if one couldn't teach themself.
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Public facing notes page
An open-source, low-code machine learning library in Python
Automatic extraction of relevant features from time series:
My blogs and code for machine learning. http://cnblogs.com/pinard
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…
A course on aligning smol models.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Acceptance rates for the major AI conferences
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
🎨🖌 Modern, bright color theme for Sublime Text
Homepage for STAT 157 at UC Berkeley