BlueBlueFF

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

TensorRT

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

TensorLayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

benchmark_results

Visual Tracking Paper List

stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

AdelaiDet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

FCOS

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

CVPR-2021-Papers

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

pytorch-ssd

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

mmfashion

Open-source toolbox for visual fashion analysis based on PyTorch

ObjectDetectionImbalance

Lists the papers related to imbalance problems in object detection [TPAMI]

mobilenetv2.pytorch

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Next-ViT

NTS-Net

This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

awesome-deepfakes-materials

A curated list of awesome Deepfakes materials

caffemodel2pytorch

Convert Caffe models to PyTorch

convNet.pytorch

ConvNet training using pytorch

FCOS_PLUS

Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).

DFL-CNN

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

pytorch-syncbn

Synchronized Multi-GPU Batch Normalization

WS_DAN_PyTorch

PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)

CVPRW2019_Face_Artifacts

Exposing DeepFake Videos By Detecting Face Warping Artifacts

single-positive-multi-label

Multi-Label Learning from Single Positive Labels - CVPR 2021

deepfake-detection-challenge

The unofficial https://deepfakedetectionchallenge.ai/ github repo. A quick and easy way to get insight to current progress and previous work on detecting deepfake videos

Pytorch_Quantize_impls

Some recent Quantizing techniques on PyTorch

MMC

[NAACL 2024] MMC: Advancing Multimodal Chart Understanding with LLM Instruction Tuning