deeplearningfromscratch Goto Github PK

automl

Google Brain AutoML

cityscapesscripts

README and scripts for the Cityscapes Dataset

convnext

Code release for ConvNeXt model

efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

focalnet

[NeurIPS 2022] Official code for "Focal Modulation Networks"

furiosa-ssd-tf

gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

hrssd

inference

Reference implementations of MLPerf™ inference benchmarks

keras-applications

Reference implementations of popular deep learning models.

learning-python3

learnthepythonthehardway

llama

Inference code for LLaMA models

mmdetection

OpenMMLab Detection Toolbox and Benchmark

onnx

Open standard for machine learning interoperability

onnx-simplifier

Simplify your onnx model

onnxruntime

ONNX Runtime: cross-platform, high performance scoring engine for ML models

optimum

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

power-dev

Dev repo for power measurement for the MLPerf benchmarks

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

pytorch-mobilenet-from-tf

Mobilenet model converted from tensorflow

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

test-submodule

tf-models

Models and examples built with TensorFlow

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ultralytics

YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/