akkefa / Must-Read-Books-of-All-TimeLinks
Must Read Books of All Time
☆12Updated 4 months ago
Alternatives and similar repositories for Must-Read-Books-of-All-Time
Users that are interested in Must-Read-Books-of-All-Time are comparing it to the libraries listed below
Sorting:
- Notes galore☆10Updated 8 months ago
- Video descriptions and minimalist Python implementations of algorithms and data structures.☆67Updated last year
- ☆6Updated 3 years ago
- Contains important notes/definitions/propositions from the book Algebra, Topology, Differential Calculus, and Optimization Theory for Com…☆45Updated 5 years ago
- Numerical Linear Algebra Notes CME 302 Stanford☆14Updated 6 months ago
- Understanding RL vision Distill article☆23Updated 2 years ago
- Stanford course notes in math / CS☆18Updated 5 years ago
- Automated shapeshifting for function recovery in damaged robots.☆13Updated 5 years ago
- Intelligent Artificial Life. Researching behavior by nature and nurture simulation, deploying multi-agent reinforcement learning and evol…☆20Updated this week
- Books, courses, videos and blogs, mostly about Deep Learning.☆43Updated 8 months ago
- A dataset of segmented RNA molecule surfaces, as a benchmark task in 3D machine learning on surfaces. From Poulenard et al., 3DV 2019.☆10Updated 3 years ago
- ⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems☆19Updated 2 years ago
- A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry wit…☆19Updated 7 years ago
- Constrained optimization framework for inverse kirigami design☆10Updated last year
- Simple and intuitive animation editor☆15Updated 10 years ago
- yet another C++ 3d engine☆12Updated 5 years ago
- YACHT 🛳️: Smoothly riding the waves of C++ projects☆11Updated 2 years ago
- Algorithms and Data Structures☆15Updated 6 years ago
- This repository contains the code of the paper Equivariant Q Learning in Spatial Action Spaces☆11Updated 3 years ago
- Collection of resources for self-studying mathematics and machine learning.☆53Updated 4 years ago
- Tracking Of Agent (actions and belief) and Spatio-TEmporal Reasoning☆14Updated 5 years ago
- Examples of using common Python profiling techniques☆12Updated 6 years ago
- Digital Geometry Processing course framework☆13Updated 7 years ago
- Learning some numerical linear algebra.☆70Updated 4 years ago
- A C++ hierarchical task network (HTN) planner library that interprets a custom domain language.☆14Updated last year
- Stanford CS234: Reinforcement Learning assignments and practices☆50Updated 10 months ago
- A library for metric optimization and parametrization described in Optimization in Penner Coordinates☆13Updated this week
- 11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials☆43Updated this week
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆132Updated 9 months ago
- Single notebook implementation of Deep RL algorithms☆32Updated 4 years ago