Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Python sample codes and textbook for robotics algorithms.

Image-to-Image Translation in PyTorch

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

A PyTorch implementation of EfficientNet

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Progressive Growing of GANs for Improved Quality, Stability, and Variation

A general-purpose encoder-decoder framework for Tensorflow

StarGAN - Official PyTorch Implementation (CVPR 2018)

A TensorFlow Implementation of the Transformer: Attention Is All You Need

Collection of generative models in Tensorflow

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

Deep Convolutional Generative Adversarial Networks

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

Waymo Open Dataset

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

TensorFlow implementation of Deep Reinforcement Learning papers

An implementation of CycleGan using TensorFlow

L5Kit - https://woven.toyota

[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction

[CVPR 2023] Query-Centric Trajectory Prediction

A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

Using reinforcement learning to teach a car to avoid obstacles.

Data-driven simulation for training and evaluating full-scale autonomous vehicles.

The Simplest DCGAN Implementation