SamanehSaadat
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Multi-backend recommender systems with Keras 3
Keras documentation, hosted live at keras.io
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
The official PyTorch implementation of Google's Gemma models
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Obtain Word Alignments using Pretrained Language Models (e.g., mBERT)
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Machine Learning algorithm implementations from scratch.
♾️ CML - Continuous Machine Learning | CI/CD for ML
The shortest yet efficient Python implementation of the sequential pattern mining algorithm PrefixSpan, closed sequential pattern mining algorithm BIDE, and generator sequential pattern mining algo…
Multi-class with imbalanced dataset classification
Theories of social science expressed in Catlab.jl formalisms
AutoPhrase: Automated Phrase Mining from Massive Text Corpora
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presente…
A Keras-based library for analysis of time series data using deep learning algorithms.
A pattern-based approach for learning technical interview questions
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
An implementation of a sequence to sequence neural network using an encoder-decoder
Re-implementation of music transformer paper published for ICLR 2019.
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
A simple NN in PyTorch for the Medium article.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.