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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
scikit-learn: machine learning in Python
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
Minimal and clean examples of machine learning algorithms implementations
Deep learning library featuring a higher-level API for TensorFlow.
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…
A Python implementation of global optimization with gaussian processes.
Automated Machine Learning with scikit-learn
Distributed Asynchronous Hyperparameter Optimization in Python
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Convolutional Neural Network for Text Classification in Tensorflow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Neural Artistic Style in Python
1st Place Solution for O2O Coupon Usage Forecast
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Laroche…
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
多标签分类,端到端的中文车牌识别基于mxnet, End-to-End Chinese plate recognition base on mxnet