iArunava / scratchaiLinks
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
Alternatives and similar repositories for scratchai
Users that are interested in scratchai are comparing it to the libraries listed below
Sorting:
- Image classification for everyone.☆216Updated last year
- Curated lists of fastai resources: blog posts, twitter threads etc.☆146Updated 5 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- Machine learning algorithms☆113Updated 6 years ago
- BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natura…☆139Updated 4 years ago
- My personal notes on Machine Learning☆144Updated 5 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆140Updated 5 years ago
- ☆36Updated 5 years ago
- Text summarization algorithm for the Capstone Project at Springboard code bootcamp☆54Updated 2 years ago
- Material for MLT Reinforcement Learning workshops and study sessions☆51Updated 5 years ago
- Contains materials for workshops pertaining to adversarial robustness in deep learning.☆86Updated 4 years ago
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆209Updated 2 years ago
- A flexible neural network framework for running experiments and trying ideas.☆82Updated 5 years ago
- Notebooks for upcoming fastai book (draft / incomplete)☆164Updated 5 years ago
- Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)☆136Updated 2 years ago
- Starter app for fastai v3 model deployment on Render☆218Updated 2 years ago
- Kaggle Reading Group (Video & Paper list), Kaggle Coding Videos☆28Updated 5 years ago
- Fit your tensorflow model using fastai and PyTorch☆91Updated 6 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- A set of jupyter notebooks on pytorch functions with examples☆161Updated 5 years ago
- Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?☆264Updated 6 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆317Updated 3 years ago
- My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)☆36Updated 7 years ago
- Slides, code and resources for model interpretation methods in machine learning and deep learning☆32Updated 6 years ago
- Contains notebooks prepared for ML Bootcamp organized by Google Developers Launchpad.☆53Updated 5 years ago
- Contains my explorations of TensorFlow 2.x☆380Updated 3 years ago
- 🕵️♂️ Interpreting Convolutional Neural Network (CNN) Results.☆176Updated 10 months ago
- An intuitive approach to creating deep learning models☆372Updated 2 years ago
- A python package that sends your deep learning training and validation metrics to your slack channel after every specified epoch☆61Updated 5 years ago
- Everything I know. My knowledge wiki. My notes (mostly for fast.ai). Document everything. Brain dump.☆126Updated 2 years ago