All repos — GH Trending Explorer

A contract-driven gRPC regression harness for AI coding agents, with human-approved baselines. Snapshot the valid call chains of an API so an agent can look one up instead of tracing for it. gRPC today, OpenAPI next

NandhaKishorM / laya

Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.

xuyiqing / regression-lectures

POLI 450A (Stanford): regression lecture slides, worksheets, R code and data

astroautomata / PySR

Symbolic Learning in Python and Julia

VictorTran1023 / android-tv-toolkit

品牌无关的 Android TV 调试与调优工具箱：ADB 授权、分品牌侧载、去广告、状态 HUD、回归测试 | Brand-agnostic Android TV toolkit: ADB auth, per-brand sideloading, debloat, status HUD, regression tests

jwuthri-cloud / Tracely-ai

Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.

pipelab-org / pipelock

Open-source AI agent firewall for MCP security and agent egress. Scans mediated HTTP, MCP, A2A, and WebSocket traffic for exfiltration, SSRF, and prompt injection, and emits mediator-signed action receipts: verifiable audit evidence from outside the agent.

j1s4nn / jev-adaptive-granularity-WM

Official code, locked protocols, and audit artifacts for "Jev-Routed Temporal Granularity with Recovery and Hysteresis for Causal Video Generation": per-segment fine/coarse/hold routing for Causal-rCM (Wan2.1-1.3B) via the Jev oracle, with two-GPU (T4/A100) feasibility audits.

johnkerl / miller

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

step-security / harden-runner

Harden-Runner is a CI/CD security agent that works like an EDR for GitHub Actions runners. It monitors network egress, file integrity, and process activity on those runners, detecting threats in real-time.

Nixtla / neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

NVIDIA / flashdreams

high-performance inference and serving library for interactive autoregressive video and world models

statsmodels / statsmodels

Statsmodels: statistical modeling and econometrics in Python

sktime / sktime

A unified framework for machine learning with time series

garris / BackstopJS

Catch CSS curve balls.

microsoft / FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

ourownstory / neural_prophet

NeuralProphet: A simple forecasting package

Peterande / D-FINE

D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]

ModelTC / LightX2V

Lightweight Image Video Action Generation Inference Framework

AIStream-Peelout / flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

jd-opensource / JoyAI-Video-Edit

[Official Repo] JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion

dynamicslab / pysindy

A package for the sparse identification of nonlinear dynamical systems from data

aeon-toolkit / aeon

A toolkit for time series machine learning and deep learning

smartcorelib / smartcore

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

joanby / python-ml-course

Curso de Introducción a Machine Learning con Python

GeoDaCenter / geoda

GeoDa: An introduction to spatial data analysis

argos-ci / argos

The open source visual testing platform for teams and AI agents. Review the product, not just the code.

pingmike2 / freebuff2api-wokers

Freebuff/Codebuff free models as an OpenAI-compatible API — Docker-first, zero deps, bilingual web admin panel (/admin), per-account SOCKS5 egress.

morluto / flameox

Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.

groundingpi / GroundAnything

A 4B diffusion grounding model for fast, precise visual evidence extraction. Unifies diverse grounding tasks through parallel decoding, with optional self-speculative decoding delivering 4.51x autoregressive throughput on COCO.

ASLP-lab / SemBridge

SemBridge: Semantic Token Anchoring for Continuous-Latent Autoregressive Speech Generation

mosaichunk / MosaiChunk

MosaiChunk: Compositing Spatio-Temporal Memory for Autoregressive Video Generation

AlexJ1ang / sse-agent-bench

Configuration-driven evaluation, regression testing, replay, and load testing for SSE-streaming LLM agents

catboost / catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.