Handwriting Synthesis with RNNs ✏️
A toolkit for making real world machine learning and data analysis applications in C++
Beautiful chart for data visualization.
Facebook AI Research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Scenarios, tutorials and demos for Autonomous Driving
End to end Tensor IR/DSL stack for deploying deep learning workloads to hardwares
Play with neural networks!
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Module for automatic summarization of text documents and HTML pages.
A fast image processing library with low memory needs.
A similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces
Keras implementations of Generative Adversarial Networks.
The fast.ai deep learning library, lessons, and tutorials
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
🔮 spaCy's Machine Learning library for NLP in Python
Unity Machine Learning Agents
A modular scientific software framework. It provides all the functionalities needed to deal with big data processing, statistical analysis, visualisation and storage. It is mainly written in C++ but integrated with other languages such as Python and R.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Arduino UNO-compatible robotic simulation of the C. elegans nematode
Desktop notebook app + packages
PyTorch implementation of Rainbow, Combining Improvements in Deep Reinforcement Learning
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
Code for Tensorflow Machine Learning Cookbook
A CNN visualizer
Architecture-free neural network library for node.js and the browser
TensorFlow Tutorials with YouTube Videos
This project is a faster faster R-CNN implementation, aimed to accelerating the training of faster R-CNN object detection models