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Magnificent app which corrects your previous console command.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
The world's simplest facial recognition api for Python and the command line
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Zipline, a Pythonic Algorithmic Trading Library
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
A curated list of practical financial machine learning tools and applications.
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
pytorch structural similarity (SSIM) loss
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
A challenge to explore adversarial robustness of neural networks on MNIST.
Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)
ImageNet classifier with state-of-the-art adversarial robustness
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)