vlgiitr / DL_Topics
List of DL topics and resources essential for cracking interviews
☆446Updated 2 years ago
Alternatives and similar repositories for DL_Topics:
Users that are interested in DL_Topics are comparing it to the libraries listed below
- Summaries for exciting works in the field of Deep Learning.☆346Updated 2 months ago
- Notes and summaries of various ML, Computer Vision & NLP papers.☆561Updated 2 years ago
- AI residency programs information☆457Updated 2 years ago
- Contains my explorations of TensorFlow 2.x☆380Updated 2 years ago
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆206Updated last year
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data☆303Updated 4 years ago
- ☆316Updated 4 years ago
- Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.☆244Updated 5 years ago
- ML and DL related contests, competitions and conference challenges.☆604Updated last year
- ☆342Updated 4 years ago
- The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch☆182Updated 5 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆317Updated 2 years ago
- Curated lists of fastai resources: blog posts, twitter threads etc.☆144Updated 5 years ago
- ☆194Updated 5 years ago
- An intuitive approach to creating deep learning models☆372Updated 2 years ago
- Machine Learning Conference & Summer School Notes. 🦄☆572Updated 4 years ago
- Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.☆305Updated 3 years ago
- The Hitchiker's Guide to PyTorch☆1,197Updated 3 years ago
- A curated list of all Henry AI Labs videos on Deep Learning and AI organized by category!☆97Updated 2 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆273Updated 6 years ago
- 📄 A repo containing notes and discussions for our weekly NLP/ML paper discussions.☆150Updated 4 years ago
- Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)☆356Updated last month
- Research papers with annotations, illustrations and explanations☆829Updated 3 years ago
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆332Updated 2 years ago
- fast.ai early development experiments☆642Updated last year
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆175Updated 3 years ago
- A collection of resources to study Transformers in depth.☆527Updated last year
- OLD REPO - PLEASE USE fastai/fastai☆180Updated 2 years ago
- A set of jupyter notebooks on pytorch functions with examples☆158Updated 4 years ago
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆554Updated 2 years ago