- BrainJouney (Repository for the neuroscience and cognitive science courses)
- Presentation
- Books
- Conferences
- Youtube channel
- Solo videos
- Websites
- Documentaries and interviews
- Magazines
- Courses
Artist : https://www.flickr.com/photos/95869671@N08/
This is a list of links I want to keep, channels I follow on youtube, books I've read... I want to share those in case someone is looking for informations. This list will mostly contains science stuff, mainly maths, physics and computer science.
- The Origin of Species (famous Darwin's evolution book)
- Clean Code (Robert C. Martin's book about clean code)
- Anagrammes renversantes (french book written by a physicist and a jazzman)
- Birth of a Theorem (Cédric Villani explaining how research in maths feels)
- The art of doing science (Richard Hamming book about research)
- Essential Cell Biology (Very complete book about cell biology)
- The most beautiful story of intelligence (book about intelligence in general from a historical perspective)
- When the machin learns (french machine learning book)
- Deep Learning, A practicioners approach (very complete book about deep learning)
- Neural network from scratch (how to build a neural network from scratch)
- Artificial Intelligence 4th edition (one of the best AI book)
- Deep learning book (deep learning book, Ian Goodfellow and Yoshua Bengio and Aaron Courville)
- The singularity myth (AI philosophy and ethic book written by my AI professor at Sorbonne Université)
- Reinforcement Learning, an introduction 2nd edition (RL bible 2018 update)
- Time never rings twice (Etienne Klein about time in physics)
- Chronos (Etienne Klein about time in physics)
- Universe origins (Etienne Klein about universe's origin)
- Black holes and time distorsion (Kip S. Thorne's book about black holes)
- The nature of physics (Feynman messenger lectures book)
- Quantum physics and world representation (Erwin Schrodinger book)
- Uncle bob's lessons (6 videos about clean code, tests, ethics... )
- Elon Musk about climate (conference about the future of earth, carbon, climate...)
- Elon Musk Neuralink demonstration (demonstration of neuralink on pigs)
- Cédric Villani about ideas (french conference about how ideas are born)
- Cédric Villani about maths (french conference about general uses of maths...)
- Etienne Klein why maths (french conference, can we understand why maths are useful)
- Etienne Klein science philosophy lecture (french conference about science philosophy)
- I let algorithms randomize my life (TED talks about randomizing your life with algorithms)
- Apprendre les talents des cerveaux (Stanislas Dehaene about learning)
- La bosse des Maths (Stanislas Dehaene about maths and neurosciences)
- Cédric Villani about AI (french conference about AI)
- Yann Le Cun Deep learning 2018 update (lecture about deep learning at USI in FR)
- Demis Hassabis about AI (lecture at Collège de France about artificial intelligence)
- Demis Hassabis about AI and creativity (same as the last one, start at 29:00)
- Deepmind AlphaZero (mastering Games Without Human Knowledge)
- LSTM is dead, Long Live Transformers (lecture about RNN, LSTM, Transformers)
- Mystères mathématiques des DNN (Stéphane Mallat conference about Maths and AI)
- Deep learning state of the art 2020 (Lex Fridman about DL SOTA)
- Deep Reinforcement Learning (Lex fridman introduction lecture of DRL)
- From ML to Autonomous Intelligence (YLC conference about his idea of Autonomous Intelligence)
- Etienne Klein about death (french conference about the death from physics pov)
- Etienne Klein about Higgs boson (french conference about higgs boson)
- Etienne Klein about the big bang (french conference about how the universe began)
- Etienne Klein about time (french conference about time, time travel etc)
- Etienne Klein about Einstein (french conference at USI about Einstein's life and thoughts)
- Etienne Klein about quantum physics (french conference from quantum physics to quantum computing)
- Chistophe Galfard about universe origins (french conference talking about how the universe began)
- Richard Feynman's messenger lectures (famous 1964 conference about physics and maths)
- Etienne Klein about randomness (french conference about randomness in philosophy and physics)
- Primer (awesome simulation to explain concepts done in python)
- Science Etonnante (one of the best science popularizer)
- Short Circuit (secondary channel of Linus Tech Tips)
- Linus Tech Tips (channel about hardware and most recent technologies)
- Fouloscopie (french videos about fouloscopy)
- Computerphile (tons of videos about very various topics)
- The Coding Train (channel about a lot of stuff in computer science, some playlist about AI and ML)
- Javidx9 (interesting stuff like 3D rendering in terminal)
- Emergent Garden (cool CS topics)
- Sentdex (explaining how to build neural networks and how to use them)
- CodeBullet (funny guy using ai in games)
- Trackmania AIs (different deep learning algorithms in trackmania)
- Defend Intelligence (french youtube channel about AI/Data science)
- Thibault Neveu (french channel about neural networks)
- Lazy Programmer (videos about AI, LSTM...)
- What's AI (papers, articles, news about AI)
- Henry AI Labs (channel about AI)
- Normalized Nerd (channel about AI)
- Visually Explained (machine learning algorithms explained in few minutes)
- 3Blue1Brown (really good channel about mathematics and also some videos about AI, his animation are really cool)
- Numberphile (Youtube channel about maths, like computerphile)
- StatQuest (Mathematics, statistics, machine learning videos)
- NiK & ETR VR (french youtube channel about VR)
- Dirty Biology (french channel about sciences, this video is about the brain and the future of VR)
- ThillSeeker (youtube channel about VR)
- 3D VR data visualization (Video about reddit/place and its data)
- WIRED 5 levels (An expert explains a complex subject in five levels of complexity)
- Blockchain Idriss ABERKANE (interview about the blockchain, economist pov)
- Melodysheep (video about the future, big crunch/rip/freeze theory...)
- Explication IA TV5Monde (french interview of Stéphane Mallat explaining AI)
- Tesla AI Day 2021 (conference about Tesla Bot, AI etc...)
- How to become a AI scientist (some tips on what to learn)
- DeepMind AlphaCode (explanation about the AlphaCode model)
- Tesla AI Day 2022 (conference about Tesla Bot, AI etc...)
- Intro to Large Language models (very good introduction to LLMs behind chatGPT, Bard...)
- Language theory and compilation (EPITA lecture playlist)
- Hyperbolica (video about non-euclidean game)
- Quantum computers intro (small video about quantum computers)
- Computer science's map (the different chapters of computer science)
- The universe is hostile to computers (cool video about bit flip bugs)
- Conways game of life AI (AI implementation in game of life)
- Depth in deep learning (cool video about depth in neural networks)
- Futurama sciences (video about the physics, maths, computer science easter eggs in futurama)
- Collatz conjecture 3x+1 (video about the collatz conjecture)
- Mathematics' map (the different chapters of mathematics)
- Lock pattern (How to solve problems that have never been solved before)
- The longest running evolution (documentary about bacteria evolution)
- Map of Biology (the different chapters of biology)
- Information is Beautiful (nice data visualisation website)
- CryptoZombies (one of the best tutorial to learn dapp, blockchain, solidity...)
- Esoteric programming languages (wikipage of slashes language)
- Google Colab (notebooks hosted by google, able to use their GPUs and TPUs)
- Kaggle (notebooks hosted by google, oriented AI, easy dataset manager...)
- Sentdex's animation (huge list of links explaining tons of AI concept using animations)
- Different types of NN (article about MLP/CNN/RNN...)
- Draw your NN (tool to draw your nn online)
- How I became an AI scientist (interesting interview about an engineer who became university lecturer and researcher)
- Karpathy's Blog (Really great blog about machine learning mostly)
- Karpathy's Blod 2
- Recipe for training NN (Very usefull and simple recipe for training neural networks)
- Elon Musk (documentary about Elon Musk's companies)
- Xavier Niel (Xavier Niel interview about his career)
- Jensky doc (french documentary about dark energy & matter)
- Ericksonian hypnosis (french hypnosis demonstration from Arche hypnose)
- WIRED doc (documentary about AI)
- AlphaGo (movie about DeepMind's AI winning against the best Go player)
- Arte doc (documentary about the manufacture of ignorance)
- Quantum magazine (interesting science videos)
- Two minute papers (channel about new technologies, especialy in AI)
- Neura Pod (youtube channel about neuralink news)
- La recherche (French magazine about current research in many fields)
- Frederic Magniez Collège de France (Quantum computing course)
- Stéphane Mallat Collège de France (Free data science course)
- Stanislas Dehaene Collège de France (Free cognitive psychology course)
- Yann LeCun Collège de France (Deep learning course)
- Deepmind RL lecture (RL course)
- Stanford AI lecture (AI course)
- Reinforcement learning lecture (Olivier Sigaud RL)
- Machine learning & deep learning lecture (Patrick Gallinari ML/DL)