floodsung / Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
☆38,410Updated 2 years ago
Alternatives and similar repositories for Deep-Learning-Papers-Reading-Roadmap:
Users that are interested in Deep-Learning-Papers-Reading-Roadmap are comparing it to the libraries listed below
- The most cited deep learning papers☆25,556Updated 10 months ago
- A curated list of deep learning resources for computer vision☆10,836Updated last year
- A curated list of awesome Deep Learning tutorials, projects and communities.☆24,396Updated 7 months ago
- PyTorch Tutorial for Deep Learning Researchers☆30,390Updated last year
- A collection of various deep learning architectures, models, and tips☆16,781Updated 10 months ago
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆15,542Updated 10 months ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,210Updated last month
- A curated list of awesome computer vision resources☆21,110Updated 6 months ago
- Public facing notes page☆10,263Updated 4 months ago
- Recurrent Neural Network - A curated list of resources dedicated to RNN☆6,093Updated 2 years ago
- Oxford Deep NLP 2017 course☆15,695Updated last year
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,442Updated 4 months ago
- machine learning and deep learning tutorials, articles and other resources☆15,647Updated 6 months ago
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆24,173Updated 3 months ago
- Deep Learning for humans☆62,187Updated this week
- Deep learning library featuring a higher-level API for TensorFlow.☆9,621Updated 7 months ago
- A curated list of awesome Machine Learning frameworks, libraries and software.☆66,293Updated last month
- Library for fast text representation and classification.☆25,970Updated 8 months ago
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆24,066Updated last year
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,228Updated last year
- Latex code for making neural networks diagrams☆22,335Updated last year
- Models and examples built with TensorFlow☆77,250Updated last week
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,332Updated 3 years ago
- This repository is no longer maintained.☆15,401Updated 4 years ago
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆84,859Updated this week
- Machine learning, in numpy☆15,743Updated last year
- Minimal and clean examples of machine learning algorithms implementations☆10,749Updated last year
- A technical report on convolution arithmetic in the context of deep learning☆14,110Updated last year
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆26,388Updated this week
- A curated list of resources dedicated to Natural Language Processing (NLP)☆16,816Updated last year