BarunLM-35M: a parameter-efficient 35M base language model trained on 5.7B tokens
Open-source quantitative finance models in Python: option pricing and Greeks, volatility surfaces, deep hedging, portfolio construction and Monte Carlo. Every model runs on free data, with the full write-up on davidariasfinance.com
π« Industrial-strength Natural Language Processing (NLP) in Python
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
100-Days-Of-ML-CodeδΈζη
Best Practices on Recommendation Systems
Open standard for machine learning interoperability
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
A hyperparameter optimization framework
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Open Machine Learning Compiler Framework
Low-code framework for building custom LLMs, neural networks, and other AI models
π Geometric Computer Vision Library for Spatial AI
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Minimal and clean examples of machine learning algorithms implementations
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Build, Manage and Deploy AI/ML Systems
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
TensorFlow-based neural network library
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop β all through one unified, production-ready inference API.
ModelScope: bring the notion of Model-as-a-Service to life.
Deep universal probabilistic programming with Python and PyTorch
A collection of machine learning examples and tutorials.
π§ Build, run, and manage data pipelines for integrating and transforming data.
BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
Uniform Manifold Approximation and Projection
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Efficiently computes derivatives of NumPy code.
Flower: A Friendly Federated AI Framework
Native MLX runtime for Laya typed decision models β 7β14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
Aim π« β An easy-to-use & supercharged open-source experiment tracker.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
π Online machine learning in Python
Democratizing Reinforcement Learning for LLMs
π :bar_chart: :bulb: Orange: Interactive data analysis
ZenML π: One AI Platform from Pipelines to Agents. https://zenml.io.
NVIDIA cuML: GPU-Accelerated Machine Learning
Machine Learning and Computer Vision Engineer - Technical Interview Questions
π€ AutoTrain Advanced
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
Superfast AI decision making and intelligent processing of multi-modal data.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
WebApps in pure Python. No JavaScript, HTML and CSS needed
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Evaluation and Tracking for LLM Experiments and AI Agents
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Seamlessly integrate LLMs into scikit-learn.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
JAX-based neural network library
The machine learning toolkit for time series analysis in Python
πͺ Turns your machine learning code into microservices with web API, interactive GUI, and more.
:sunglasses: A curated list of robotics libraries and software
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
Data manipulation and transformation for audio signal processing, powered by PyTorch
POT : Python Optimal Transport
A Pythonic framework to simplify AI service building