#deep-neural-networks (30 Repositories)
Ranked open-source repositories tagged with #deep-neural-networks, scored by pull request acceptance likelihood and maintainer engagement velocity.
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30 repositories tagged #deep-neural-networks
autowarefoundation/vision_pilot
Free and fully open-source L2 ADAS stack powered by End-to-End AI technology
uxlfoundation/oneDNN
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
SonySemiconductorSolutions/mct-model-optimization
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
onnx/onnx
Open standard for machine learning interoperability
deepjavalibrary/djl
An Engine-Agnostic Deep Learning Framework in Java
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
palle-k/DL4S
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
OpenNMT/CTranslate2
Fast inference engine for Transformer models
faisalthaheem/open-lpr
Open Source and Free License Plate Recognition Software
frgfm/torch-scan
Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)
mbadry1/Top-Deep-Learning
Top 200 deep learning Github repositories sorted by the number of stars.
yinguobing/cnn-facial-landmark
Training code for facial landmark detection based on deep convolutional neural network.
tensorflow/serving
A flexible, high-performance serving system for machine learning models
alphacep/vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
mil-tokyo/webdnn
The Fastest DNN Running Framework on Web Browser
qualcomm/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
EmergentOrder/onnx-scala
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning and classical machine learning in Scala 3
kyegomez/BitNet
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
roboflow/notebooks
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
deepfakes/faceswap
Deepfakes Software For All
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
KaiyangZhou/deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
Arm-Examples/ML-examples
Arm Machine Learning tutorials and examples
memoakten/ofxMSATensorFlow
C++ openframeworks addon and examples integrating Google's TensorFlow numerical computation and machine learning library
js3611/Deep-MRI-Reconstruction
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
Xilinx/CHaiDNN
HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs
patrick-kidger/signatory
Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)
haitongli/knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
NVlabs/DoRA
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation