dustinvtran / ml-videosLinks
A collection of video resources for machine learning
☆1,547Updated 4 years ago
Alternatives and similar repositories for ml-videos
Users that are interested in ml-videos are comparing it to the libraries listed below
Sorting:
- A-Paper-A-Week☆946Updated last year
- Essential Guide to keep up with AI/ML/DL/CV☆1,050Updated 5 months ago
- Various tutorials given for welcoming new students at MILA.☆985Updated 7 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,799Updated 4 years ago
- A curated list of Machine Learning Surveys, Tutorials and Books.☆1,381Updated 2 years ago
- Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content l…☆1,735Updated last year
- List of all the lessons learned, best practices, and links from my time studying machine learning☆1,001Updated 2 years ago
- Organized & Useful Resources about Deep Learning with TensorFlow☆21Updated 4 years ago
- Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.☆1,826Updated 2 years ago
- Implementations of CNNs, RNNs, GANs, etc☆1,057Updated 7 years ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,955Updated 8 years ago
- Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.☆3,192Updated 5 years ago
- A living collection of deep learning problems☆1,716Updated last year
- UCL MSc Computational Statistics and Machine Learning Revision Notes☆287Updated 7 years ago
- A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017☆886Updated 7 years ago
- Topics Course on Deep Learning UC Berkeley☆1,301Updated 7 years ago
- Learn to make machines learn so that you don't have to struggle to program them; The ultimate list☆1,106Updated last year
- The Hitchiker's Guide to PyTorch☆1,198Updated 3 years ago
- A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.☆1,044Updated 7 years ago
- ☆317Updated 7 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,960Updated 2 weeks ago
- Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyda…☆1,368Updated last year
- Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data☆474Updated 6 years ago
- A Course in Machine Learning☆901Updated 2 years ago
- Demo of running NNs across different frameworks☆1,652Updated 2 years ago
- Summaries of papers on deep learning☆571Updated 5 years ago
- Deep Learning and deep reinforcement learning research papers and some codes☆2,928Updated last year
- A collection of Kaggle solutions. Not very polished.☆768Updated 6 years ago
- Deep Learning tutorials in jupyter notebooks.☆1,811Updated 2 years ago
- Notes for Fastai Deep Learning Course☆1,125Updated 4 months ago