Dquentin's Stars
facebookresearch/pytorchvideo
A deep learning library for video understanding research.
romkatv/powerlevel10k
A Zsh theme
VainF/Torch-Pruning
[CVPR 2023] DepGraph: Towards Any Structural Pruning
neuralmagic/sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
mingrammer/diagrams
:art: Diagram as Code for prototyping cloud system architectures
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
nektos/act
Run your GitHub Actions locally 🚀
visenger/awesome-mlops
A curated list of references for MLOps
google-research/google-research
Google Research
OpenMined/PySyft
Perform data science on data that remains in someone else's server
rwightman/efficientdet-pytorch
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
DashBarkHuss/100-days-of-code
Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)
KaiyangZhou/deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
jaantollander/OneEuroFilter
Simple Python and Julia implementations of the 1€ Filter. The codes can be used as a pseudocode for implementing the algorithm in other languages.
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
JunweiLiang/Object_Detection_Tracking
Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
hoya012/deep_learning_object_detection
A paper list of object detection using deep learning.
tensorflow/models
Models and examples built with TensorFlow
timvieira/blog
"Graduate Descent"
datasciencemasters/go
The Open Source Data Science Masters
pkmital/CADL
ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
carpedm20/deep-rl-tensorflow
TensorFlow implementation of Deep Reinforcement Learning papers
Element-Research/hypero
Hyper-optimization for torch7
muupan/deep-reinforcement-learning-papers
A list of papers and resources dedicated to deep reinforcement learning
karpathy/neuraltalk2
Efficient Image Captioning code in Torch, runs on GPU