#deeplearning (30 Repositories)
Ranked open-source repositories tagged with #deeplearning, scored by pull request acceptance likelihood and maintainer engagement velocity.
19.2%
14.5h
30 repositories tagged #deeplearning
albumentations-team/AlbumentationsX
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
NVIDIA-ISAAC-ROS/isaac_ros_dnn_inference
NVIDIA-accelerated DNN model inference ROS 2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU
NVIDIA-NeMo/Speech
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
ob-f/OpenBot
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.
brain4j-org/brain4j
Open-source deep learning framework for Java. Designed with speed and lightweight in mind.
ludwig-ai/ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
ZantFoundation/Z-Ant
Zant simplifies the deployment and optimization of neural networks on microprocessors
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
microsoft/AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
qualcomm/ai-hub-models
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
kekmodel/FixMatch-pytorch
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Mikoto10032/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
hunkim/PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
qualcomm/ai-hub-apps
The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
EmbraceLife/shendusuipian
To know stats by heart
OpenBMB/VoxCPM
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
kyegomez/BitNet
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
waleedka/hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
deepfakes/faceswap
Deepfakes Software For All
lartpang/awesome-segmentation-saliency-dataset
A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile:
dfouhey/caffe64
No dependency caffe replacement
aporia-ai/mlnotify
🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
ybayle/awesome-deep-learning-music
List of articles related to deep learning applied to music
sovrasov/flops-counter.pytorch
Flops counter for neural networks in pytorch framework
luohongk/SuperVINS
📖[IEEE Sensors Journal (JSEN) ] SuperVINS: A Real-Time Visual-Inertial SLAM Framework for Challenging Imaging Conditions (integrated deep learning features)
yxuansu/SimCTG
[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
karolzak/keras-unet
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
skanti/Scan2CAD
[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans