There are 36 repositories under self-learning topic.
An Open Source implementation of Notebook LM with more flexibility and features
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
🤖 Places where you can learn robotics (and stuff like that) online 🤖
MuZero
A guide to Rust's basics distilled for programmers
AI powered homework solver. Students' life matter | 开源作业帮 | AI 驱动的作业解决工具 学生的生活很重要
This is the guide for learning applied statistics.
Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark
(Try to be) a Comprehensive Computer Science Learning Map.
A repository with a selection of hand picked free courses from high quality universities that amount to a full Computer Science undergrad curriculum, based on 2019's MIT undergrad curriculum.
A set of introductory exercises for Julia. Based on [100 NumPy Exercises](https://github.com/rougier/numpy-100).
Explore, Create and Share Learning Roadmaps in Tech 📍 🚀 🧗 🎒
A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.
🚧 Code and personal notes for the book Computer Science Distilled by Wladston Ferreira.
A collection of open-source and free machine learning resources
A repository with a selection of hand picked free courses from high quality universities that amount to a full Computer Science undergrad curriculum, based on 2019's MIT undergrad curriculum.
📝 My method to capture, study, and recall interesting knowledge
A tiny task for those who isn't familiar with OOP and JS OOP in particular yet
🏫🙋🏻 [WIP] Self learn LLMs. This repository is a collection of resources, notebooks, blogs, tutorials for beginners.
Watch a Neural Network learns to shoot a target
Rust programlama dilini öğrenmek amacıyla oluşturdum. Kitap, eğitim videosu gibi kaynaklardan öğrendiklerimi derleyip toparladığım bir çalışma alanı olarak kullanmayı planlıyorum.
A lightweight Python library that allows any LLM agent to self-improve through feedback, without retraining models.
CS 61A: Structure and Interpretation of Computer Programs
A monorepo for a self learning command palette driven by a final state machine implemented in XState.
Learn how to use Kinesis Firehose, AWS Glue, S3, and Amazon Athena by streaming and analyzing reddit comments in realtime. 100-200 level tutorial.
:sushi: Implementations of fundamental algorithms and data structures. Happy Hacktoberfest!
My personal learning roadmap on Computer Science. A.k.a teaching myself Computer Science.
微电子和集成电路自学指南
🧠 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.