brylevkirill / notes
Learn about Machine Learning and Artificial Intelligence
β914Updated 3 years ago
Alternatives and similar repositories for notes:
Users that are interested in notes are comparing it to the libraries listed below
- List of DL topics and resources essential for cracking interviewsβ446Updated 2 years ago
- curated collection of papers for the nlp practitioner ππ©βπ¬β1,071Updated 4 years ago
- Machine Learning Conference & Summer School Notes. π¦β572Updated 4 years ago
- The Hitchiker's Guide to PyTorchβ1,197Updated 3 years ago
- Course notes for CS228: Probabilistic Graphical Models.β1,930Updated 10 months ago
- Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everydaβ¦β1,357Updated last year
- UCL MSc Computational Statistics and Machine Learning Revision Notesβ283Updated 6 years ago
- Practical assignments of the Deep|Bayes summer school 2019β829Updated 4 years ago
- A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.β1,045Updated 6 years ago
- A collection of video resources for machine learningβ1,537Updated 4 years ago
- A collection of resources to study Transformers in depth.β527Updated last year
- Tutorial for International Summer School on Deep Learning, 2019β317Updated 2 years ago
- Topics course Mathematics of Deep Learning, NYU, Spring 18β540Updated last year
- Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmindβ827Updated 5 years ago
- I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notβ¦β281Updated 5 years ago
- Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boostβ420Updated 6 years ago
- Research papers with annotations, illustrations and explanationsβ829Updated 3 years ago
- This repository is to prepare for Machine Learning interviews.β1,512Updated 5 years ago
- A curated list of gradient boosting research papers with implementations.β1,013Updated 11 months ago
- Code and assignment repository for the Imperial College Mathematics department Deep Learning courseβ263Updated 5 years ago
- I categorize, annotate and write comments for all research papers I read (440+ papers since 2018).β403Updated 3 weeks ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madisonβ525Updated 5 years ago
- Various tutorials given for welcoming new students at MILA.β985Updated 6 years ago
- A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resourcesβ1,291Updated 2 years ago
- This will contain my notes for research papers that I read.β615Updated 5 years ago
- Lab materials for the Full Stack Deep Learning Courseβ1,207Updated 2 years ago
- βοΈ A carefully curated list of NLP paper summariesβ1,479Updated 3 years ago
- This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtubeβ1,060Updated 4 years ago
- Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)β356Updated last month
- Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)β937Updated last year