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An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
The fastai deep learning library
ncnn is a high-performance neural network inference framework optimized for the mobile platform
The Unified AI Framework
Dive Into Dl Pytorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Turi Create simplifies the development of custom machine learning models.
Open deep learning compiler stack for cpu, gpu and specialized accelerators
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
TensorFlow-based neural network library
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
A flexible framework of neural networks for deep learning
XLNet: Generalized Autoregressive Pretraining for Language Understanding
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Run Keras models in the browser, with GPU support using WebGL
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
Deep Learning GPU Training System
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
Serve, optimize and scale PyTorch models in production
Dive Into Dl Tensorflow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
CUDA Templates for Linear Algebra Subroutines
Time series forecasting with PyTorch
Fast and flexible AutoML with learning guarantees.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Tiny Cuda Nn
Lightning fast C++/CUDA neural network framework
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
Deep Learning Keras Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
A tensorflow implementation of EAST text detector
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Deep Learning Porn Video Classifier/Editor with Caffe
The Natural Language Decathlon: A Multitask Challenge for NLP
Fast inference engine for Transformer models
implementing deep dream on video
Automatically remove the mosaics in images and videos, or add mosaics to them.
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
YOLO ROS: Real-Time Object Detection for ROS
Pytorch domain library for recommendation systems
A memory-efficient implementation of DenseNets
Deep learning in Rust, with shape checked tensors and neural networks
Deep learning for recommender systems
PyTorch extensions for fast R&D prototyping and Kaggle farming
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
High-level Deep Learning Framework written in Kotlin and inspired by Keras
Deep Learning framework for Julia
java deep learning algorithms and deep neural networks with gpu acceleration
High quality, fast, modular reference implementation of SSD in PyTorch
GPU-Accelerated Deep Learning Library in Python
CakeChat: Emotional Generative Dialog System
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
Free Offline OCR 离线的中文文本检测+识别SDK
YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
The Hitchiker's Guide to PyTorch
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
Boosting your Web Services of Deep Learning Applications.
TVM Documentation in Chinese Simplified / TVM 中文文档
A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）
Machine learning framework for both deep learning and traditional algorithms
Kubernetes Gpu Guide
This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
Joint Detection and Identification Feature Learning for Person Search
Wavelet scattering transforms in Python with GPU acceleration
High-performance Vision library in Python. Scale your research, not boilerplate.
Inference Code for Polygon-RNN++ (CVPR 2018)
Deep Learning In Cloud
List of Deep Learning Cloud Providers
Deep Learning Wizard
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
Visualizing RNNs using the attention mechanism
[内测中]QPT - 致力于让开源项目更好通往互联网世界的Python to EXE工具（Python打包）。
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
Intro To Dl
Resources for "Introduction to Deep Learning" course.
Reversi Alpha Zero
Reversi reinforcement learning by AlphaGo Zero methods.
Bmw Yolov4 Training Automation
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
A Pythonic framework to simplify AI service building
Train a state-of-the-art yolov3 object detector from scratch!
A simple, high level, easy to use, open source Computer Vision library for Python.
Deep learning for Ruby, powered by LibTorch
PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.
Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
Deep learning with spiking neural networks (SNNs) in PyTorch.
Deep learning toolkit-enabled VLSI placement
Fchd Fully Convolutional Head Detector
Code for FCHD - A fast and accurate head detector
Asynchronous Methods for Deep Reinforcement Learning
Implement AlphaZero/AlphaGo Zero methods on Chinese chess.
DiffSharp: Differentiable Functional Programming
GPU-accelerated Deep Learning on Windows 10 native
End-to-end solution for enabling on-device AI across mobile and edge devices for PyTorch models
A library for high performance deep learning inference on NVIDIA GPUs.
Training deep learning models on AWS and GCP instances
This repository consists for gpu bootcamp material for HPC and AI
Python2 Deep Learning (22,757)
Python Deep Learning (13,092)
Jupyter Deep Learning (10,328)
Ml Deep Learning (9,307)
Jupyter Notebook Deep Learning (6,566)
Deep Learning Neural Nets (5,801)
Deep Learning Pytorch (4,652)
Deep Learning Tensorflow (4,441)
Deep Learning Neural Network (4,236)
Deep Learning Convolutional Neural Networks (4,142)
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