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21 Lessons, Get Started Building with Generative AI
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
The fastai book, published as Jupyter Notebooks
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
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。
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Official inference library for Mistral models
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
An Open Source text-to-speech system built by inverting Whisper.
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Official content for Harvard CS109
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well …
[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
Released assignments for the Stanford's CS131 course on Computer Vision.
This project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, and Uwe Klemradt.
Solutions of Stanford CS131