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apollo

An open autonomous driving platform

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

caffe

Caffe: a Fast framework for neural networks. For the most recent version, check out branch dev. For a more stable version, check out branch master.

capsnet

CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.

centerpoint

complex-yolo

Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

csci5510-big-data-analytics

deep-image-prior

Image restoration with neural networks but without learning.

deep-residual-networks

Deep Residual Learning for Image Recognition

deeprnn

long-term blood pressure prediction with deep recurrent neural networks

detection-proposals

Evaluation of detection performance, recall, and repeatability of detection proposal algorithms

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

dl-setup

Instructions for setting up the software on your deep learning machine

dni-pytorch

Decoupled Neural Interfaces using Synthetic Gradients for PyTorch

een

EEN: Error Encoding Network

engg-1100-ta

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faiss

A library for efficient similarity search and clustering of dense vectors.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

gemini

Gemini is a modern LaTex beamerposter theme 🖼

how-to-make-a-computer-operating-system

How to Make a Computer Operating System in C++

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

lucid

A collection of infrastructure and tools for research in neural network interpretability.

mask-rcnn

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.