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🔥 星星数 🌐 依赖它的包 / 仓库 📝 上次提交 / 更新版本
  1. Tensorflow 🔥 157k 🌐 141k / + 141,359 An Open Source Machine Learning Framework for Everyone 📝 3 年前 / 3 年前
  2. Keras 🔥 51.8k Deep Learning for humans 📝 3 年前 / 4 年前
  3. PyTorch 🔥 49.1k 🌐 79.8k / + 79,790 Tensors and Dynamic neural networks in Python with strong GPU acceleration 📝 3 年前 / 3 年前
  4. Caffe 🔥 31.7k Caffe: a fast open framework for deep learning. 📝 5 年前 / 8 年前
  5. MXnet 🔥 19.5k 🌐 2.1k / + 2,069 Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more 📝 3 年前 / 4 年前
  6. CNTK 🔥 17k Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit 📝 5 年前 / 6 年前
  7. Paddle 🔥 15.9k 🌐 1k / + 1,011 PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署） 📝 3 年前 / 3 年前
  8. DeepLearning4J 🔥 12.1k 🌐 6 Model import deployment framework for retraining models (pytorch, tensorflow,keras) deploying in JVM Micro service environments, mobile devices, iot, and Apache Spark 📝 3 年前
  9. char-rnn 🔥 10.6k Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch 📝 8 年前
  10. convetjs 🔥 10.2k Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser. 📝 8 年前 / 10 年前
  11. Theano 🔥 9.4k 🌐 11k / + 10,987 Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara 📝 4 年前
  12. Sonnet 🔥 8.9k 🌐 590 / + 582 TensorFlow-based neural network library 📝 3 年前 / 5 年前
  13. Torch7 🔥 8.6k http://torch.ch 📝 6 年前
  14. deeplearn.js 🔥 8.5k 🌐 12.5k / + 12,480 WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript. 📝 5 年前 / 7 年前
  15. Caffe2 🔥 8.4k Caffe2 is a lightweight, modular, and scalable deep learning framework. 📝 6 年前 / 7 年前
  16. albumentations 🔥 8.2k 🌐 4k / + 3,952 Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125 📝 3 年前 / 3 年前
  17. Brain 🔥 8k 🌐 473 / + 465 [UNMAINTAINED] Simple feed-forward neural network in JavaScript 📝 7 年前
  18. Ccv 🔥 6.8k C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library 📝 4 年前
  19. TVM 🔥 6.8k Open deep learning compiler stack for cpu, gpu and specialized accelerators 📝 3 年前 / 4 年前
  20. Trax 🔥 6.3k 🌐 28 / + 20 Trax — Deep Learning with Clear Code and Speed 📝 3 年前 / 3 年前
  21. Serpent.AI 🔥 6k Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own! 📝 4 年前
  22. Chainer 🔥 5.6k 🌐 2.3k / + 2,246 A flexible framework of neural networks for deep learning 📝 3 年前 / 3 年前
  23. DSSTNE 🔥 4.4k Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models 📝 5 年前
  24. Nvidia DIGITS 🔥 4k Deep Learning GPU Training System 📝 5 年前 / 7 年前
  25. Neon 🔥 3.9k 🌐 46 / + 38 Intel® Nervana™ reference deep learning framework committed to best performance on all hardware 📝 5 年前 / 7 年前
  26. Lasagne 🔥 3.8k 🌐 808 / + 800 Lightweight library to build and train neural networks in Theano 📝 5 年前 / 9 年前
  27. mlpack 🔥 3.7k mlpack: a scalable C++ machine learning library -- 📝 3 年前 / 4 年前
  28. DeepLearnToolbox 🔥 3.6k Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started. 📝 9 年前
  29. Scikit Flow 🔥 3.2k 🌐 53 / + 45 Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning 📝 8 年前 / 9 年前
  30. TensorForce 🔥 3k Tensorforce: a TensorFlow library for applied reinforcement learning
  31. DMTK 🔥 2.8k Microsoft Distributed Machine Learning Toolkit 📝 7 年前
  32. Catalyst 🔥 2.6k Accelerated deep learning R&D 📝 3 年前 / 3 年前
  33. Apache SINGA 🔥 2.3k 🌐 1 a distributed deep learning platform 📝 4 年前 / 5 年前
  34. Coach 🔥 2k Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms 📝 3 年前 / 5 年前
  35. Feast 🔥 2k 🌐 15 / + 7 Feature Store for Machine Learning 📝 3 年前 / 3 年前
  36. PyTorch Geometric Temporal 🔥 2k 🌐 15 / + 7 Feature Store for Machine Learning 📝 3 年前 / 3 年前
  37. Flax 🔥 1.9k Flax is a neural network library for JAX that is designed for flexibility. 📝 3 年前 / 3 年前
  38. Deeppy 🔥 1.3k Deep learning in Python 📝 9 年前
  39. Mocha.jl 🔥 1.3k Deep Learning framework for Julia 📝 6 年前
  40. Knet.jl 🔥 1.3k Koç University deep learning framework. 📝 3 年前 / 4 年前
  41. MatConvNet: CNNs for MATLAB 🔥 1.3k MatConvNet: CNNs for MATLAB 📝 6 年前
  42. Brainstorm 🔥 1.3k Fast, flexible and fun neural networks. 📝 8 年前
  43. Karate Club 🔥 1.3k 🌐 43 / + 35 Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020) 📝 3 年前 / 3 年前
  44. JavaNN 🔥 1.2k java deep learning algorithms and deep neural networks with gpu acceleration 📝 7 年前
  45. hebel 🔥 1.2k GPU-Accelerated Deep Learning Library in Python 📝 9 年前
  46. garage 🔥 1.2k 🌐 17 / + 9 A toolkit for reproducible reinforcement learning research. 📝 3 年前 / 4 年前
  47. lightly 🔥 1k 🌐 14 / + 6 A python library for self-supervised learning on images. 📝 3 年前 / 3 年前
  48. Torchnet 🔥 997 Torch on steroids 📝 7 年前
  49. nolearn 🔥 941 Combines the ease of use of scikit-learn with the power of Theano/Lasagne 📝 5 年前
  50. Veles 🔥 893 Distributed machine learning platform 📝 8 年前
  51. Deepnet 🔥 882 Implementation of some deep learning algorithms. 📝 11 年前
  52. RNNLIB 🔥 849 RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/ 📝 7 年前
  53. cuda-convnet 🔥 697 Automatically exported from code.google.com/p/cuda-convnet2 📝 9 年前
  54. NeuPy 🔥 683 🌐 110 / + 102 NeuPy is a Tensorflow based python library for prototyping and building neural networks 📝 5 年前 / 6 年前
  55. Minerva 🔥 679 Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy. 📝 9 年前
  56. Hopsworks 🔥 525 Hopsworks - Data-Intensive AI platform with a Feature Store 📝 3 年前 / 4 年前
  57. Detecto 🔥 479 🌐 48 / + 40 Build fully-functioning computer vision models with PyTorch 📝 3 年前 / 4 年前
  58. Neuraxle 🔥 422 🌐 20 / + 12 A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily. 📝 3 年前 / 4 年前
  59. Marvin 🔥 414 Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework
  60. MGL 🔥 286 Common Lisp machine learning library. 📝 4 年前
  61. NuPIC 🔥 267 Implementation of core NuPIC algorithms in C++ (under construction) 📝 5 年前 / 6 年前
  62. OpenDL 🔥 217 The Deep Learning training framework on Spark
  63. RNNLM Toolkit 🔥 122 Recurrent Neural Network Language Modeling (RNNLM) Toolkit 📝 7 年前
  64. Synapses 🔥 50 🌐 2 A lightweight library for neural networks that runs anywhere 📝 4 年前
  65. QuickVision 🔥 45 🌐 0 An Easy To Use PyTorch Computer Vision Library 📝 4 年前 / 4 年前
  66. cuDNN
  67. SyntaxNet
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