[DeepLearning]Tools, Frameworks, Examples & Papers
keywords: DeepLearning, Tools, Frameworks, Examples & Papers
Research in human-centered AI, deep learning, autonomous vehicles & robotics at MIT and beyond.
Using neural networks to solve advanced mathematics equations
Neural Network Architectures
MindsDB is a predictive AI layer for existing databases, making it easy for organizations to apply machine learning to their own data.
Machine Learning in one line of code
Nonrigid image registration using multi-scale 3D convolutional neural networks
Codebase for Image Classification Research, written in PyTorch.
Pytorch implementation of network design paradigm described in the paper “Designing Network Design Spaces”
Facebook AI RegNet Models Outperform EfficientNet Models, Run 5x Faster on GPUs
Tensors and Dynamic neural networks in Python with strong GPU acceleration.
Fine-tune pretrained Convolutional Neural Networks with PyTorch
Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it.
Open Source Computer Vision Library
A collection of various deep learning architectures, models, and tips
Machine learning, in numpy
Virginia Tech Vision and Learning Lab
Learning Continuous Signed Distance Functions for Shape Representation
This repository contains the code for the paper “Occupancy Networks - Learning 3D Reconstruction in Function Space”
PyTorch3D is FAIR’s library of reusable components for deep learning with 3D data
Detectron2 is FAIR’s next-generation research platform for object detection and segmentation.
This project provides the implementation for DetNAS: Backbone Search for Object Detection.
Deepfakes Software For All
An open source library for face detection in images. The face detection speed can reach 1500FPS.
DeepFaceLab is the leading software for creating deepfakes.
Deep learning model for recognizing puzzle patterns in The Witness.
I trained a robot to play The Witness
Is a Realistic Honey Simulation Possible?
CenterFace(size of 7.3MB) is a practical anchor-free face detection and alignment method for edge devices.
Image augmentation for machine learning experiments.
Depth-Aware video frame INterpolation (DAIN)
Depth-Aware Video Frame Interpolation (CVPR 2019)
Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV
基于卷积神经网络的数字手势识别安卓APP，识别数字手势0-10（The number gestures recognition Android APP based on convolutional neural network(CNN), which can recognize the gestures corresponding number 0 to 10）
Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture and Jester
Image & Video Classification
An end-to-end PyTorch framework for image and video classification
Turi Create simplifies the development of custom machine learning models.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
A small course on exploiting and defending neural networks
AI Path Tracer Denoiser
This project is to create a CUDA accelerated Deep learning approach to denoise renders from a path tracer
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
NVIDIA Merlin is a framework for building high-performance, deep learning-based recommender systems.
Announcing NVIDIA Merlin: An Application Framework for Deep Recommender Systems
COCO-WholeBody dataset is the first large-scale benchmark for whole-body pose estimation.
GCN (Graph Convolutional Networks)
Graph Convolutional Networks in PyTorch
Graph Convolution Network for PyTorch
Hierarchical Task Network (HTN)
Hierarchical task network
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Occupancy Networks: Learning 3D Reconstruction in Function Space
Large-scale Deep Unsupervised Learning using Graphics Processors
Fast Support Vector Machine Training and Classification on Graphics Processors
HeteroSpark: A Heterogeneous CPU/GPU Spark Platform for Machine Learning Algorithms
Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD 1st Edition (July 14, 2020)
Deep Learning with PyTorch 1st Edition (June 9, 2020)
Write better code with the knowledge of the global development community.
Research Scientist at @GoogleAI in the Brain Team. Deep Learning with Graphs.
maths, visualisations, conversational AI. lead scientist @Poly_AI, previously @GoogleAI, PhD @Cambridge_Uni. living in Singapore.
It was inevitable: the scent of bitter almonds always reminded him of the fate of unrequited love. ― Gabriel Garcia Marquez