Stars
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Circular visualization in Python (Circos Plot, Chord Diagram, Radar Chart)
This is a simple implementation of the MVAR model in PyTorch
SIFT is an EEGLAB-compatible toolbox for analysis and visualization of multivariate causality and information flow between sources of electrophysiological (EEG/ECoG/MEG) activity. It consists of a …
Hidden Markov Models in Python, with scikit-learn like API
LAVIS - A One-stop Library for Language-Vision Intelligence
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales…
Python functions for randomising the phase of images and text.
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
NMA Computational Neuroscience course
a python3 version of matlab mTRF-Toolbox by Lalor Lab https://mtrfpy.readthedocs.io/
Two algorithms for orthogonal nonnegative matrix factorization
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
2021年最新总结,推荐工程师合适读本,计算机科学,软件技术,创业,思想类,数学类,人物传记书籍
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Code Release for MViTv2 on Image Recognition.
Code Release for MeMViT Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition, CVPR 2022
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
commul / ctap
Forked from ctapweb/ctapThe parent project of ctap-feature and ctap-web