AI
人工智能、机器学习、深度学习与大模型相关项目
共 1368 个源码项目VisGel
[CVPR 2019] Connecting Touch and Vision via Cross-Modal Prediction
cogitare
🔥 Cogitare - A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python
nat
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
TeachMyAgent
TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
envision
Clojure Data Visualisation library, based on Statistiker and D3
Chips-n-Salsa
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
Awesome-Machine-Learning-in-Biomedical-Healthcare-Imaging
A list of awesome selected resources towards the application of machine learning in Biomedical/Healthcare Imaging, inspired by
dream-creator
Quickly and easily create / train a custom DeepDream model
gekko-gannswing
Gann's Swing trade strategy for Gekko trade bot
RedGPT
暂无描述
kaggle-grasp-and-lift
Code for Kaggle EEG Detection competition
presentations
Presentations for JuliaCon
scoruby
Ruby Scoring API for PMML
ucto
Unicode tokeniser. Ucto tokenizes text files: it separates words from punctuation, and splits sentences. It offers several other basic preprocessing steps such as changing case that you can all use to make your text suited for further processing such as indexing, part-of-speech tagging, or machine translation. Ucto comes with tokenisation rules for several languages and can be easily extended to suit other languages. It has been incorporated for tokenizing Dutch text in Frog, our Dutch morpho-syntactic processor. http://ilk.uvt.nl/ucto --
webnlg
The enriched version of the WebNLG described at INLG 2018
PyStanfordDependencies
Python interface for converting Penn Treebank trees to Stanford Dependencies and Universal Depenencies
learnergy
💡 Learnergy is a Python library for energy-based machine learning models.
GNN-for-Combinatorial-Optimization
JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.
MNIST-CoreML
Predict handwritten digits with CoreML
filtering-stft-and-laplace-transform
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
InsNet
InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.
pinecone
Ruby client for Pinecone Vector DB
kaggle_acquire-valued-shoppers-challenge
Code for the Kaggle acquire valued shoppers challenge
synthia
📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python
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