TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Google Research

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

This repository contains implementations and illustrative code to accompany DeepMind publications

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

TensorFlow Tutorials with YouTube Videos

Build your neural network easy and fast, 莫烦Python中文教学

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

links to conference publications in graph-based deep learning

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

A small package to create visualizations of PyTorch execution graphs

Bayesian optimization in PyTorch

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

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…

functorch is JAX-like composable function transforms for PyTorch.

Tensors, for human consumption

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

A pedagogical implementation of Autograd

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

pytorch version of spatial transformer networks

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

A Structured Output Framework for LLM Outputs

Visualising LIDAR data from KITTI dataset.

Structured Inference Networks for Nonlinear State Space Models

Demo code of the paper "SegFlow: Joint Learning for Video Object Segmentation and Optical Flow", in ICCV 2017

Deep Markov Models

[ICCV 2023] ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation

PoseNet localization task implementation on Apolloscape dataset with PyTorch.

Lane Finding Project for Self-Driving Car ND