anhquan0412 / basic_model_scratchLinks
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
☆596Updated 5 years ago
Alternatives and similar repositories for basic_model_scratch
Users that are interested in basic_model_scratch are comparing it to the libraries listed below
Sorting:
- Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)☆935Updated last year
- Contains my explorations of TensorFlow 2.x☆382Updated 3 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆317Updated 3 years ago
- List of DL topics and resources essential for cracking interviews☆447Updated 2 years ago
- PyTorch Tutorial (1.7)☆457Updated 4 years ago
- Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.☆655Updated 5 years ago
- A compiled list of kaggle competitions and their winning solutions for classification problems.☆270Updated 9 years ago
- Chapterwise code available in the book☆150Updated 6 years ago
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆208Updated 2 years ago
- Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow☆352Updated 4 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆539Updated 6 years ago
- A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!☆532Updated 4 years ago
- Monthly Series - Top 10 Machine Learning Articles☆508Updated 6 years ago
- A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)☆228Updated 7 years ago
- My Attempt(s) In The World Of ML/DL....☆94Updated last year
- A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.☆197Updated 6 years ago
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆575Updated 2 years ago
- Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course☆660Updated 5 years ago
- A few notebooks about deep learning in pytorch☆591Updated 6 years ago
- Machine Learning Conference & Summer School Notes. 🦄☆574Updated 4 years ago
- Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison☆754Updated 4 years ago
- My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.☆501Updated 5 years ago
- Research papers with annotations, illustrations and explanations☆829Updated 4 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆275Updated 7 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆492Updated 6 years ago
- Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras M…☆817Updated 4 years ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆73Updated 2 years ago
- Lab materials for the Full Stack Deep Learning Course☆1,215Updated 3 years ago
- Deep learning simplified by transferring prior learning using the Python deep learning ecosystem☆831Updated 4 years ago
- A list of awesome PyTorch scholarship articles, guides, blogs, courses and other resources.☆308Updated 6 years ago