Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
Repository Index
47,133 repositories indexed
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Deep Learning for humans
💫 Industrial-strength Natural Language Processing (NLP) in Python
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
- machine-learning
- deep-learning
- deep-reinforcement-learning
- machine-learning-from-scratch
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
Topic Modelling for Humans
- gensim
- topic-modeling
- information-retrieval
- machine-learning
机器学习相关教程
A MNIST-like fashion product database. Benchmark :point_down:
pix2code: Generating Code from a Graphical User Interface Screenshot
- deep-learning
- datasets
- deep-neural-networks
- front-end-development
Low-code framework for building custom LLMs, neural networks, and other AI models
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
Deep learning library featuring a higher-level API for TensorFlow.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
- pytorch
- tensorboard
- machine-learning
- visualization
Efficiently computes derivatives of NumPy code.
- autograd
- automatic-differentiation
- numpy
- python
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
- cntk
- visualization
- tensorflow
- model-converter
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
N-D labeled arrays and datasets in Python
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
- web-analytics
- monitoring
- django
- python
StellarGraph - Machine Learning on Graphs
- graphs
- machine-learning
- machine-learning-algorithms
- graph-convolutional-networks
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
- graph
- visualization
- gpu
- graphistry
A curated list of community detection research papers with implementations.
- graph-clustering
- network-clustering
- clustering
- dimensionality-reduction
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
- python
- genetic-algorithm
- optimization
- numpy