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apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

auto-seg-loss

Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

clip

Contrastive Language-Image Pretraining

complex-yolo

Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet

conceptnet-puppet

Puppet configuration for ConceptNet

conceptnet5

Code for building ConceptNet from raw data.

dali

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

deformable-convnets

Deformable Convolutional Networks

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

deit

Official DeiT repository

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

fairscale

PyTorch extensions for high performance and large scale training.

fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

gcnet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

gdown.pl

Google Drive direct download of big files

google-access-helper

谷歌访问助手破解版

gpflow

Gaussian processes in TensorFlow

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

jackroos.github.io

mmcv

Open MMLab Computer Vision Foundation

mmdetection

Open MMLab Detection Toolbox and Benchmark

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

neural-motifs

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

nmn2

Dynamically predicted neural network structures for multi-domain question answering

nngp

Deep neural network kernel for Gaussian process

places365

The Places365-CNNs for Scene Classification

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.