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A curated list of resources and projects related to quantum machine learning, algorithms, and frameworks.
Clean, robust, and unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms.
LimiX is a Python library that enables structured-data modeling capability for generalist intelligence.
Implement reasoning LLM in PyTorch from scratch
A comprehensive library for audio and music analysis, feature extraction, and deep learning applications.
Python library for analyzing magnetoencephalography (MEG) and electroencephalography (EEG) data.
An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.
An open-source pick and place machine for hardware development and prototyping.
An implementation of Dreambooth for Stable Diffusion, with a focus on training faces, objects, and styles.
A personal GitHub page for a computer vision and deep learning researcher.
Determined is an open-source machine learning platform for distributed training, hyperparameter tuning, and resource management.
Bluepill is a reliable iOS testing tool that runs UI tests using multiple simulators on a single machine.
A Jupyter Notebook repository that provides visualizations and explanations for machine learning concepts and algorithms.
A JAX-based neural network library for building and training deep learning models.
Comprehensive roadmap to become skilled in AI, ML, data science, and more from scratch.
A curated collection of deep learning research papers organized by task and with the latest state-of-the-art work labeled.
A curated list of the latest AI breakthroughs in 2022 with explanatory videos, articles, and code.
Alpa is a distributed training and serving framework for large-scale neural networks with auto-parallelization.
A high-performance Transformer library for accelerating AI models on NVIDIA GPUs, including low-precision support.
A comprehensive machine learning study plan for developers to learn and master ML concepts and tools.
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