Trending repositories for topic deep-neural-networks
An Open Source Machine Learning Framework for Everyone
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Scalable and user friendly neural :brain: forecasting algorithms.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like...
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the typ...
带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Techniques for deep learning with satellite & aerial imagery
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
machine learning and deep learning tutorials, articles and other resources
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
The official code of "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.
Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the typ...
Scalable and user friendly neural :brain: forecasting algorithms.
带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Automatic 3D Character animation using Pose Estimation and Landmark Generation techniques
物体検出を用いてNARUTOの印(子～亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、YOLOXを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.)
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
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 adva...
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like...
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
An Open Source Machine Learning Framework for Everyone
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Scalable and user friendly neural :brain: forecasting algorithms.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the typ...
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like...
machine learning and deep learning tutorials, articles and other resources
Techniques for deep learning with satellite & aerial imagery
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
The official code of "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"
Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
Quizz App Using Custom Diffusion Model to create deep fake of Satelite Earth image
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Data Science, Machine Learning, Deep Learning, NLP, Python & Library's cheat Sheet - Interview Questions & Notes
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the typ...
带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Scalable and user friendly neural :brain: forecasting algorithms.
An Open Source Machine Learning Framework for Everyone
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like...
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
DeepFaceLab is the leading software for creating deepfakes.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Techniques for deep learning with satellite & aerial imagery
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Scalable and user friendly neural :brain: forecasting algorithms.
machine learning and deep learning tutorials, articles and other resources
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the typ...
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
The official code of "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.
Official code for "Towards the Automatic Modulation Classification with Adaptive Wavelet Network".
zkDL, an open source toolkit for zero-knowledge proofs of deep learning powered by CUDA
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like...
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
Terrain generation tool, using real-earth data and deep learning techniques
Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
A neural network training framework within a task-based parallel programming paradigm
SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-Time Performance on Mobile Device, in ICCV 2023
Distributed training of DNNs • C++/MPI Proxies (GPT-2, GPT-3, CosmoFlow, DLRM)
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
An Open Source Machine Learning Framework for Everyone
DeepFaceLab is the leading software for creating deepfakes.
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like...
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Techniques for deep learning with satellite & aerial imagery
machine learning and deep learning tutorials, articles and other resources
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the typ...
Scalable and user friendly neural :brain: forecasting algorithms.
带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
Terrain generation tool, using real-earth data and deep learning techniques
SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-Time Performance on Mobile Device, in ICCV 2023
Unity's Privacy-Preserving Novel Human Body Model Trained Solely on Synthetic Data and Corresponding Dense Anthropometric Measurements
A neural network training framework within a task-based parallel programming paradigm
[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the typ...
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
NVIDIA-accelerated, deep-learned freespace segmentation
Official code for "Towards the Automatic Modulation Classification with Adaptive Wavelet Network".
Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.
😎 Awesome lists about Speech Emotion Recognition
This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting”
Neatly packaged AI methods for explainable ECG analysis