Machine Learning
Showing 36 of 1845 projects
A curated collection of research papers and resources on Vision Transformers (ViT) for computer vision tasks.
A toolkit for turning classic video games into Gym environments for reinforcement learning research.
A modular library for Bayesian optimization built on PyTorch, enabling efficient optimization of expensive black-box functions.
A neural network that automatically adds color to grayscale images using deep learning techniques.
A web-based IDE for machine learning and data science with pre-installed libraries and tools, deployable via Docker.
A Python library for probabilistic modeling built on PyTorch, offering modular distributions, GPU support, and flexible model composition.
Seamlessly integrate large language models like ChatGPT into scikit-learn for enhanced text analysis tasks.
A collection of cheminformatics and machine-learning software for molecular informatics, written in C++ with Python wrappers.
A PyTorch-based framework for visual object tracking and video object segmentation, featuring implementations of state-of-the-art trackers like TaMOs, RTS, and DiMP.
A curated list of Generative AI tools, models, artworks, and educational resources.
A curated list of Python software for data science, covering machine learning, deep learning, visualization, and data manipulation.
Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.
Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.
A comprehensive collection of machine learning tutorials and implementations in Python, covering algorithms from scratch to production deployment.
A Python library providing a standardized API for multi-agent reinforcement learning environments with diverse reference games.
An AI-native modular infrastructure for quantitative trading, featuring a weight-centric architecture for building, testing, and deploying algorithmic strategies.
A debugging and visualization tool for data science, deep learning, and reinforcement learning in Jupyter Notebook.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
A Python framework for developing and backtesting algorithmic trading strategies with machine learning.
A distributed system for learning graph embeddings from large-scale graphs with billions of entities and trillions of edges.
A numerical processing library for Scala, providing generic, clean, and powerful linear algebra and scientific computing capabilities.
A free course teaching how to design, train, and deploy a production-ready real-time financial advisor LLM system using RAG and LLMOps.
A trainable, memory-efficient PyTorch reproduction of AlphaFold 2 for protein structure prediction.
Give ChatGPT long-term memory by uploading custom knowledge base files (PDF, txt, epub) and asking questions via a React frontend.
A PyTorch framework for deep learning research and development, focusing on reproducibility and rapid experimentation.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
An open-source Python library for quantum computing, quantum machine learning, and quantum chemistry.
A library of differentiable digital signal processing functions for interpretable audio synthesis in deep learning models.
A modular TensorFlow library for applied reinforcement learning with a focus on flexible design and practical usability.
A modular TensorFlow library for applied reinforcement learning with a focus on flexible design and practical usability.
A Python toolkit for causal and probabilistic reasoning using graphical models like Bayesian Networks and Structural Equation Models.
A collection of minimalist Gymnasium environments for autonomous driving decision-making and reinforcement learning research.
An Automated Machine Learning Python package for tabular data with feature engineering, hyperparameter tuning, explanations, and automatic documentation.
A visual roadmap and keyword mind map for students learning Natural Language Processing, from basics to SOTA models.
A JAX-based neural network library that provides a simple, object-oriented programming model for building and training models.
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