Classical Ml Statistics
8 resources · page 1 of 1
MindSpore framework
Creator not supplied; see original source.
MindSpore GitHub repo: Huawei's open-source deep learning training and inference framework.
3Blue1Brown Neural Networks
Creator not supplied; see original source.
3Blue1Brown neural networks series: visual video lessons explaining neural networks, backpropagation and transformers.
An Introduction to Statistical Learning
Creator not supplied; see original source.
Author site for An Introduction to Statistical Learning, with free PDF and labs in R and Python.
Deep Learning School (DLS) МФТИ
Creator not supplied; see original source.
Deep Learning School from MIPT: free Russian-language online course on computer vision, NLP, LLMs and generative models.
fast.ai Practical Deep Learning
Creator not supplied; see original source.
fast.ai Practical Deep Learning for Coders: free course teaching deep learning through code-first notebooks.
Neural Networks: Zero to Hero (Karpathy)
Creator not supplied; see original source.
Andrej Karpathy's Neural Networks: Zero to Hero video course, building micrograd, makemore, GPT and a tokenizer in code.
Full Stack Deep Learning
Creator not supplied; see original source.
Full Stack Deep Learning site with course materials and LLM Bootcamp lectures on building AI-powered products.
YSDA Practical Deep Learning
Creator not supplied; see original source.
YSDA Practical_DL GitHub repo: deep learning course materials from Yandex School of Data Analysis, HSE and Skoltech.