If you’re interested in joining or starting a project at Exohood Labs, we have links to resources on coding, math and science.
Table of contents
AI
Machine Learning
- A Course in Machine Learning by Hal Daumé III
- Algorithms for Decision Making by Mykel J. Kochenderfer, Tim A. Wheeler, and Kyle H. Wray
- Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville
- Deep Learning Interviews Second Edition by Shlomo Kashani
- Dive into Deep Learning Compiler
- Machine Learning Engineering Book by Andriy Burkov
- Mathematics for Machine Learning by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong
- Physics-based Deep Learning by N. Thuerey, P. Holl, M. Mueller, P. Schnell, F. Trost, K. Um
- The Hundred Page Machine Learning Book by Andriy Burkov
Computer Games AI
Algorithms
Command line and tools
Compilers and Interpreters
Computer Graphics
Ray Tracing
Computer Networks and Network Programming
Cryptography
Databases
Design Patterns
Distributed systems
Game Programming
GUI Programming
Hardware
Logical Games
Math
Algebra
Category Theory
Probability and Statistics
Theoretical Computer Science
Multithreading and Concurrency
Operating Systems
Physics
Programming languages
Assembly
Basic
C
C++
Clojure
Common Lisp
D
Erlang
Go
Haskell
JavaScript
Nim
OCaml
Pascal
Pyret
Python
Racket
Regular expressions
Rust
Scheme
Retrocomputing
Reverse engineering
Robotics
Text editors
Version control tools
Emulators and Virtual Machines
Web programming
Other