ioannisa / Introduction-to-Google-Colaboratory-for-PytorchLinks
Jupyter Notebook containing all necessary information to start using Google's Colaboratory for Pytorch
☆12Updated 7 years ago
Alternatives and similar repositories for Introduction-to-Google-Colaboratory-for-Pytorch
Users that are interested in Introduction-to-Google-Colaboratory-for-Pytorch are comparing it to the libraries listed below
Sorting:
- ☆49Updated 6 years ago
- ☆193Updated 6 years ago
- Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ip…☆26Updated 6 years ago
- Tutorials for DLVC NPTEL MOOC☆125Updated 4 years ago
- Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets☆21Updated 9 months ago
- This repository is the collection of research papers in Deep learning, computer vision and NLP.☆290Updated 6 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- Slides, code and resources for model interpretation methods in machine learning and deep learning☆33Updated 6 years ago
- Everything I know. My knowledge wiki. My notes (mostly for fast.ai). Document everything. Brain dump.☆128Updated 3 years ago
- ☆76Updated 4 years ago
- Curated lists of fastai resources: blog posts, twitter threads etc.☆146Updated 6 years ago
- A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.☆197Updated 6 years ago
- Contains real-life example that can be solved by pytorch☆69Updated 4 years ago
- This repository provides the necessary code to create your own Google Images Dataset.☆115Updated 7 years ago
- Deep Learning Application Examples☆170Updated 7 months ago
- ☆111Updated 4 years ago
- Jupyter notebooks of fastai v3 part 2 with links to Youtube video of corresponding lesson☆16Updated 6 years ago
- Some notes, tutorials, and some experimentation with the fast.ai library (https://github.com/fastai/fastai)☆58Updated 7 years ago
- ☆268Updated 6 years ago
- Code for training a Resnet model for the Human Protein Atlas Image Classification competition☆50Updated 7 years ago
- This is the notebook associated with the blog post:☆94Updated 6 years ago
- PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization☆155Updated 5 years ago
- Python solutions to Andrew Ng's Machine Learning Course Exercises☆55Updated 9 years ago
- Kaggle Reading Group (Video & Paper list), Kaggle Coding Videos☆28Updated 6 years ago
- fun with satellite images of cities☆42Updated 7 years ago
- Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis …☆94Updated 2 years ago
- Detailed notes and codes on learning pandas quickly for machine learning.☆28Updated 9 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆502Updated 7 years ago
- scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.☆97Updated last year
- For the demo. Click on the link.☆80Updated 2 years ago