Machine Learning
Showing 36 of 601 projects
A free course teaching how to design, train, and deploy a production-ready real-time financial advisor LLM system using RAG and LLMOps.
A curated list of Python software for data science, covering machine learning, deep learning, visualization, and data manipulation.
A collection of cheminformatics and machine-learning software for molecular informatics, written in C++ with Python wrappers.
Give ChatGPT long-term memory by uploading custom knowledge base files (PDF, txt, epub) and asking questions via a React frontend.
A Python library providing a standardized API for multi-agent reinforcement learning environments with diverse reference games.
A PyTorch framework for deep learning research and development, focusing on reproducibility and rapid experimentation.
A trainable, memory-efficient PyTorch reproduction of AlphaFold 2 for protein structure prediction.
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 framework for developing and backtesting algorithmic trading strategies with machine learning.
A visual roadmap and keyword mind map for students learning Natural Language Processing, from basics to SOTA models.
A Python toolkit for causal and probabilistic reasoning using graphical models like Bayesian Networks and Structural Equation Models.
A library of differentiable digital signal processing functions for interpretable audio synthesis in deep learning models.
An Automated Machine Learning Python package for tabular data with feature engineering, hyperparameter tuning, explanations, and automatic documentation.
A collection of minimalist Gymnasium environments for autonomous driving decision-making and reinforcement learning research.
An open-source machine learning platform for distributed training, hyperparameter tuning, experiment tracking, and resource management.
A JAX-based neural network library that provides a simple, object-oriented programming model for building and training models.
A deep learning framework for training image classification models to solve complex captcha and OCR tasks.
A Python library that makes machine learning models interpretable and transparent through user-friendly visualizations and a web application.
An open-source 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.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
A .NET binding to the TensorFlow C API for running existing machine learning models in C# and F#.
A Python machine learning toolkit for time series analysis with scikit-learn compatible API.
A TensorFlow library providing building blocks for implementing Reinforcement Learning agents.
A fast, differentiable physics engine built with JAX for massively parallel rigid body simulation on accelerator hardware.
A curated list of awesome open-source OCR software, libraries, datasets, and literature.
A high-performance, easy-to-use, and scalable machine learning package for linear models, factorization machines, and field-aware factorization machines.
A Python library for automated exploratory data analysis (EDA) with high-density visualizations and target analysis in two lines of code.
A unified and efficient machine learning toolbox with C++ core and multi-language interfaces, developed since 1999.
A Rust-native port of Hugging Face Transformers providing ready-to-use NLP pipelines and transformer models like BERT, GPT2, and T5.
A curated list of deep learning image classification papers and their code implementations since 2014.
A Python library for machine learning on graphs and networks, offering state-of-the-art algorithms for tasks like node classification and link prediction.
An AI-native modular infrastructure for quantitative trading, featuring a weight-centric architecture for building, testing, and deploying algorithmic strategies.
A TensorFlow library for implementing, deploying, and testing Contextual Bandits and Reinforcement Learning algorithms.
A comprehensive, dependency-free statistics library for Go with extensive mathematical functions and thorough testing.
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