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action-detection

temporal action detection with SSN

apex

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

apex-bench

aws-glacier-multipart-upload

Script for uploading large files to AWS Glacier

bsn-boundary-sensitive-network

Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"

bytetrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

caffe

consumption

A set of algorithms I designed to predict energetic consumption signals up to 24 hours ahead.

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

cosine_metric_learning

Deep Cosine Metric Learning for Person Re-identification

cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

darknet

Convolutional Neural Networks

deep_sort_pytorch

MOT tracking using deepsort yolo3 with pytorch

deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

detectors

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

diceloss-pytorch

DiceLoss for PyTorch, both binary and multi-class.

directml

DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.

efficient-3dcnns

PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

end-to-end-bsn.pytorch

End-to-End Boundary Sensitive Network in Pytorch

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fchd-fully-convolutional-head-detector

Code for FCHD - A fast and accurate head detector

jep

labot

Bot Dofus 2 en Python 3

market-vis

Market Visualization Prototype

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

onnxconverter-common

Common utilities for ONNX converters

openvino_notebooks

📚 Jupyter notebook tutorials for OpenVINO™

pggan-pytorch

:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

projected_gan

[NeurIPS'21] Projected GANs Converge Faster