machine-learning GitHub repositories

vespa-engine/vespa

The AI search platform

★ 7.1K+0 todayJava

ryanfrigo/kalshi-ai-trading-bot

The honest edge layer for Kalshi prediction markets - an agent-native toolkit (CLI, MCP server, Claude skill) that measures whether you actually beat the book instead of claiming it.

★ 634+0 todayPython

llm machine-learning

AbdelStark/awesome-typesafe-jev

Awesome Jev: a source-backed field guide to TypeSafe's System One model, with SDKs, live demos, agent tools, and independent evaluations.

grobidOrg/grobid

A machine learning software for extracting information from scholarly documents

★ 5.2K+0 todayJava

pytorch/rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

★ 3.6K+0 todayPython

NVlabs/sionna

Sionna: An Open-Source Library for Research on Communication Systems

★ 1.7K+0 todayJupyter Notebook

amitness/learning

A log of things I'm learning

★ 7.0K+0 todayUnknown

machine-learning python

clearml/clearml

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

★ 6.9K+0 todayPython

machine-learning data-science

kubeflow/pipelines

Machine Learning Pipelines for Kubeflow

★ 4.3K+0 todayPython

aeon-toolkit/aeon

A toolkit for time series machine learning and deep learning

★ 1.5K+0 todayPython

machine-learning foundation-models

microsoft/mattersim

MatterSim: A deep learning atomistic model across elements, temperatures and pressures.

★ 606+0 todayPython

Lightning-AI/pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

★ 31.4K+0 todayPython

opengeos/segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

★ 4.2K+0 todayPython

machine-learning causal-inference

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

★ 4.8K+0 todayJupyter Notebook

Nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

NVIDIA/DALI

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

★ 5.8K+0 todayC++

machine-learning python

ndif-team/nnsight

The nnsight package enables interpreting and manipulating the internals of deep learned models.

★ 1.1K+0 todayPython

machine-learning pytorch

zenml-io/zenml

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

amark/gun

An open source cybersecurity protocol for syncing decentralized graph data.

NVIDIA-BioNeMo/bionemo-recipes

BioNeMo Recipes: For building and adapting AI models in drug discovery at scale

★ 878+0 todayPython

machine-learning pytorch

NirDiamant/Prompt_Engineering

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

★ 7.9K+0 todayJupyter Notebook

llm ai

strands-agents/samples

Agent samples built using the Strands Agents SDK.

★ 918+0 todayPython

llm ai

Trusted-AI/adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

★ 6.3K+0 todayPython

machine-learning data-science

biolab/orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

★ 5.7K+0 todayPython

open-edge-platform/geti

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel® XPU (CUDA also supported).

★ 1.4K+0 todayPython

machine-learning optimization

interpretml/interpret

Fit interpretable models. Explain blackbox machine learning.

google-deepmind/optax

Optax is a gradient processing and optimization library for JAX.

★ 2.4K+0 todayPython

google/grain

Library for reading and processing ML training data.

★ 799+0 todayPython

machine-learning jax

machine-learning javascript

ekzhang/jax-js

JAX in JavaScript – ML library for the web, running on WebGPU & Wasm

★ 949+0 todayTypeScript

machine-learning computer-vision

wandb/wandb

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

arc53/DocsGPT

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.

stereolabs/zed-sdk

⚡️The spatial perception framework for rapidly building smart robots and spaces

★ 1.2K+0 todayC++

machine-learning hacktoberfest

LibrePhotos/librephotos

A self-hosted open source photo management service.

★ 8.1K+0 todayPython

sktime/sktime

A unified framework for machine learning with time series

★ 10.1K+0 todayPython

machine-learning neural-network

gomlx/gomlx

GoMLX: An Accelerated Machine Learning Framework For Go

★ 1.7K+0 todayGo

jeshraghian/snntorch

Deep and online learning with spiking neural networks in Python

★ 2.1K+0 todayPython

machine-learning pytorch