keywords: DeepLearning, Tools, Frameworks, Examples & Papers

Blogs

https://lexfridman.com/

Video Tutorials

Youtube Tutorials

Neural Network Architectures
https://www.youtube.com/watch?v=oJNHXPs0XDk

Sources

Open Source Computer Vision Library
https://github.com/opencv/opencv

Tensors and Dynamic neural networks in Python with strong GPU acceleration.
https://github.com/pytorch/pytorch

A collection of various deep learning architectures, models, and tips
https://github.com/rasbt/deeplearning-models

Machine learning, in numpy
https://github.com/ddbourgin/numpy-ml

Shape Representation

Learning Continuous Signed Distance Functions for Shape Representation
https://github.com/facebookresearch/DeepSDF

This repository contains the code for the paper “Occupancy Networks - Learning 3D Reconstruction in Function Space”
https://github.com/autonomousvision/occupancy_networks

Object Detection

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
https://github.com/facebookresearch/detectron2

Face Recognition

Deepfakes Software For All
https://github.com/deepfakes/faceswap

An open source library for face detection in images. The face detection speed can reach 1500FPS.
https://github.com/ShiqiYu/libfacedetection

Image Recognition

Deep learning model for recognizing puzzle patterns in The Witness.
https://github.com/wandb/witness
I trained a robot to play The Witness
https://www.wandb.com/articles/i-trained-a-robot-to-play-the-witness
Is a Realistic Honey Simulation Possible?
https://www.youtube.com/watch?v=7SM816P5G9s

Classification

An end-to-end PyTorch framework for image and video classification
https://github.com/facebookresearch/ClassyVision

Hacking

A small course on exploiting and defending neural networks
https://github.com/Kayzaks/HackingNeuralNetworks

AI Path Tracer Denoiser

This project is to create a CUDA accelerated Deep learning approach to denoise renders from a path tracer
https://github.com/Black-Phoenix/Ai-Path-Tracer-Denoiser

Research Papers

Shape Representation

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
http://openaccess.thecvf.com/content_CVPR_2019/html/Park_DeepSDF_Learning_Continuous_Signed_Distance_Functions_for_Shape_Representation_CVPR_2019_paper.html

Occupancy Networks: Learning 3D Reconstruction in Function Space
https://avg.is.tuebingen.mpg.de/publications/occupancy-networks

Physical Animation

Try W&B to track machine learning experiments and visualize results
https://www.wandb.com/papers
AI Learns To Compute Game Physics In Microseconds
https://www.youtube.com/watch?v=atcKO15YVD8


It was inevitable: the scent of bitter almonds always reminded him of the fate of unrequited love. ― Gabriel Garcia Marquez