Machine learning for NeuroImaging in Python
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Updated
Jun 23, 2025 - Python
Machine learning for NeuroImaging in Python
Defanged Indicator of Compromise (IOC) Extractor.
PyTurboJPEG is a highly optimized Python wrapper of libjpeg-turbo (TurboJPEG API) which supports x86 and ARM architecture.
AIS message decoding and encoding in Python (AIVDM/AIVDO)
[ICLR2025 Spotlight] MagicPIG: LSH Sampling for Efficient LLM Generation
Tensorflow based Neural Conversation Models
A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)
[NeurIPS'23] Speculative Decoding with Big Little Decoder
[ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
Least-Significant-Bit tool for steganography
👥 A Python post-quantum cryptography library
CTF-CryptoTool is a tool written in python, for breaking crypto text of CTF challenges. It tries to decode the cipher by bruteforcing it with all known cipher decoding methods easily. Also works for the cipher which does not have a key.
Compare efficiency of steganographic processes LSB,DCT and DWT
Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.
predicting equations from raw data with deep learning
Discriminator-Guided Chain-of-Thought Reasoning
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