olly-styles's Stars
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
baowenbo/DAIN
Depth-Aware Video Frame Interpolation (CVPR 2019)
MVIG-SJTU/AlphaPose
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
DeepLabCut/DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Nixtla/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
dmlc/decord
An efficient video loader for deep learning with smart shuffling that's super easy to digest
Qidian213/deep_sort_yolov3
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
xuehaouwa/Awesome-Trajectory-Prediction
aras62/vision-based-prediction
Deep Learning for Vision-based Prediction
Spandan-Madan/A-Collection-of-important-tasks-in-pytorch
Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!
MoonBlvd/Detection-of-Traffic-Anomaly
This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.
abhiTronix/deffcode
A cross-platform High-performance FFmpeg based Real-time Video Frames Decoder in Pure Python 🎞️⚡
ykotseruba/JAAD
Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset
schuar-iosb/mta-dataset
takumayagi/fpl
Code/data of the paper "Future Person Localization in First-Person Videos" (CVPR2018)
MBradbury/thesis-template
FunmiKesa/JLA
This repository accompanies the paper https://arxiv.org/abs/2108.10543.
TishtryaMehta/Confidence_Levels
My tailored Python code for testing the significance of peaks in a Fourier spectrum by fitting of a broken power law.
TishtryaMehta/Non-stationarity-in-QPPs
Data and code associated with non-stationarity in Quasi-periodic pulsations (QPPs) study.