- Earth
Stars
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Python library that makes it easy for data scientists to create charts.
A familiar HTTP Service Framework for Python.
Pampy: The Pattern Matching for Python you always dreamed of.
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Library for training machine learning models with privacy for training data
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Google, Naver multiprocess image web crawler (Selenium)
Research Framework for easy and efficient training of GANs based on Pytorch
Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.
Learning Latent Dynamics for Planning from Pixels
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi
Python package for earth-observing satellite data processing
Code for Talking Face Generation by Adversarially Disentangled Audio-Visual Representation (AAAI 2019)
A deep neural network based self-driving car, that combines Lego Mindstorms NXT with the computational power of a Raspberry Pi 3.
Funky takes shell functions to the next level by making them easier to define, more flexible, and more interactive.
All-pair set similarity search on millions of sets in Python and on a laptop
Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.
Deep Learning Benchmark for comparing the performance of DL frameworks, GPUs, and single vs half precision
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.