Stars
A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Google Research
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
An adversarial example library for constructing attacks, building defenses, and benchmarking both
COCO API - Dataset @ http://cocodataset.org/
Reference models and tools for Cloud TPUs.
CoTracker is a model for tracking any point (pixel) on a video.
[ICCV 2019] Monocular depth estimation from a single image
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
An educational AI robot based on NVIDIA Jetson Nano.
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
Massively parallel rigidbody physics simulation on accelerator hardware.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Quantified Self Personal Data Aggregator and Data Analysis
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
A dataset of datasets for learning to learn from few examples
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (…
Python on Zynq FPGA for Convolutional Neural Networks
The ApolloScape Open Dataset for Autonomous Driving and its Application.
Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3