Machine Learning
Showing 36 of 1845 projects
An open-source AI engineering platform for debugging, evaluating, monitoring, and optimizing production LLM applications and machine learning models.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
A curated list of the top 100 most cited deep learning papers from 2012-2016, serving as a foundational reading list.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications in Python.
A unified Python library for explaining any machine learning model's predictions using Shapley values from game theory.
Jupyter notebooks with example code and exercises from the first edition of Hands-on Machine Learning with Scikit-Learn and TensorFlow.
Generates bitmaps and tilemaps that are locally similar to a single input example, using a constraint-solving algorithm inspired by quantum mechanics.
The fastai book, published as Jupyter Notebooks, provides an introduction to deep learning, fastai, and PyTorch.
A production-grade Rust-native trading engine with deterministic event-driven architecture for multi-asset, multi-venue systems.
Python implementations of popular machine learning algorithms from scratch with interactive Jupyter demos and mathematical explanations.
A fast, memory-efficient reimplementation of OpenAI's Whisper speech-to-text model using CTranslate2.
An industrial deep learning framework supporting unified dynamic/static graphs, automatic parallelism, and integrated training/inference for large models.
An industrial deep learning framework from China supporting unified dynamic/static graphs, automatic parallelism, and integrated training/inference for large models.
A PyTorch library for building and training Graph Neural Networks (GNNs) on structured and irregular data.
A comprehensive library for building and training Graph Neural Networks (GNNs) with PyTorch.
A curated list of awesome computer vision resources, including papers, datasets, software, and tutorials.
A curated list of awesome computer vision resources, including papers, datasets, software, and courses.
Fast automatic speech recognition with accurate word-level timestamps and speaker diarization, built on OpenAI's Whisper.
A lightweight Python library for face recognition and facial attribute analysis (age, gender, emotion, race) with a unified API.
A community-driven repository tracking datasets and state-of-the-art results for common NLP tasks across multiple languages.
A reactive Python notebook that's reproducible, git-friendly, and deployable as scripts or apps.
A repository of examples, utilities, and best practices for building and deploying production-ready recommendation systems.
A free, self-taught curriculum following undergraduate Data Science guidelines using MOOCs from top universities.
Open source machine learning framework for building contextual text- and voice-based chatbots and assistants.
An open standard format for representing machine learning models to enable interoperability between frameworks.
A cross-platform, high-performance accelerator for machine learning inference and training with ONNX models.
An open-source framework for financial large language models, enabling cost-effective fine-tuning for tasks like sentiment analysis and forecasting.
A flexible and efficient deep learning framework that mixes symbolic and imperative programming for heterogeneous distributed systems.
A flexible and efficient deep learning framework that mixes symbolic and imperative programming for heterogeneous distributed systems.
A flexible and efficient deep learning framework that mixes symbolic and imperative programming for heterogeneous distributed systems.
An open-source platform for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows.
A curated list of awesome open-source libraries for deploying, monitoring, versioning, and scaling production machine learning systems.
A curated list of awesome open-source libraries for deploying, monitoring, versioning, and scaling production machine learning systems.
A minimalist, high-performance machine learning framework for Rust with a focus on serverless inference and GPU support.
An open-source AI memory tool that captures your screen and audio locally, enabling search and automation agents based on your computer activity.
An open-source AI memory tool that records your screen and audio locally, enabling search and automation agents based on your computer activity.
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