RaivoKoot's Stars
JanJaniel/Yahtzee-Extreme
small Yahtzee game with some new rules
milvus-io/milvus
A cloud-native vector database, storage for next generation AI applications
shauncassini/magic-hexagon
A simple evolutionary algorithm for solving the magic hexagon.
RaivoKoot/Video-Dataset-Loading-Pytorch
Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
timzhang642/3D-Machine-Learning
A resource repository for 3D machine learning
rbonghi/jetson_stats
📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
berniwal/swin-transformer-pytorch
Implementation of the Swin Transformer in PyTorch.
facebookresearch/fvcore
Collection of common code that's shared among different research projects in FAIR computer vision team.
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
activeloopai/deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Atze00/MoViNet-pytorch
MoViNets PyTorch implementation: Mobile Video Networks for Efficient Video Recognition;
facebookresearch/hydra
Hydra is a framework for elegantly configuring complex applications
Cartucho/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
cvdfoundation/kinetics-dataset
patrick-kidger/torchtyping
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
nalepae/bounding-box
Bounding Box is a library to plot pretty bounding boxes with a simple Python API.
ZFTurbo/Mean-Average-Precision-for-Boxes
Function to calculate mAP for set of detected boxes and annotated boxes.
rbgirshick/yacs
YACS -- Yet Another Configuration System
paperswithcode/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
wcipriano/pretty-print-confusion-matrix
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
m-bain/video-transformers
Implementations of Transformers for Video
pytorch/captum
Model interpretability and understanding for PyTorch
lucidrains/TimeSformer-pytorch
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
kkahatapitiya/X3D-Multigrid
PyTorch implementation of X3D models with Multigrid training.
wangzhe0623/Object-Detection-Evaluation-Tool
Object Detection Evaluation Tools
willprice/GulpIO2
Binary storage format for deep learning on videos.
mit-han-lab/temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
r1c7/SlowFastNetworks
PyTorch implementation of "SlowFast Networks for Video Recognition".
lucidrains/performer-pytorch
An implementation of Performer, a linear attention-based transformer, in Pytorch