Hadar933 / Intro-to-Deep-Learning
Lecture notes & Exercises
☆45Updated 2 years ago
Alternatives and similar repositories for Intro-to-Deep-Learning
Users that are interested in Intro-to-Deep-Learning are comparing it to the libraries listed below
Sorting:
- A beginner friendly repository for getting started with adversarial machine learning in PyTorch☆25Updated 3 years ago
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆172Updated 2 years ago
- A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematic…☆64Updated 5 years ago
- ☆19Updated 3 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated last year
- Awesome Pytorch Tutorials☆31Updated 3 years ago
- DRL university course lecture notes & exercises☆86Updated 2 years ago
- Course for Interpreting ML Models☆52Updated 2 years ago
- Sequence models in Numpy☆25Updated 4 years ago
- Blogs on Machine Learning and Deep learning☆111Updated 3 years ago
- Neural Search System on Arxiv AI/ML Papers☆54Updated 3 years ago
- A project for implementing ML and NLP papers☆13Updated 4 years ago
- Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021☆20Updated 3 years ago
- Deep learning research implemented on notebooks using PyTorch.☆64Updated 3 years ago
- Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP☆82Updated 3 years ago
- ☆149Updated 3 years ago
- Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques☆75Updated 3 months ago
- Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep tr…☆50Updated last year
- A neural network hyper parameter tuner☆30Updated last year
- AI Summer's complete catalog of articles☆110Updated 3 years ago
- NLP Examples using the 🤗 libraries☆41Updated 4 years ago
- Implementation of various data science techniques and research papers☆25Updated 5 months ago
- Deep learning for particle physicists☆28Updated 2 years ago
- ML Research paper summaries, annotated papers and implementation walkthroughs☆114Updated 3 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆84Updated 2 years ago
- 30 Days GANs Paper Reading☆44Updated 2 years ago
- The book: Practice exams in Quantum Computing for graduate students.☆22Updated 2 years ago
- Neural networks in pandas☆51Updated 3 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆159Updated last year
- Deep Learning Experiment Code.☆19Updated 9 months ago