New repos — GH Trending Explorer

Train a Jev-like multimodal model by yourself. System One Model, now with vision.

Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.

xbsheng / atguigu-note

AI 课程笔记：langchain / langgraph / python / vibe coding

datawhalechina / jev-cookbook

⚡ 适合中国宝宝的 Jev 入门教程｜手把手带你了解关于 Jev 的一切——Jupyter Notebook 轻松实验，从三种问题原语到 18 篇实战配方、语音智能家居、模型评测与本地微调，全面掌握 System One 判断模型的开发范式

FinanceFlash / unvibecode

Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.

zorost / AI-Engineering-Lab

A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.

Akun-python / autumn-recruitment

Autumn-Recruit Algo Notes(秋招算法学习仓库)，面向大模型时代的算法、工程与AI学习共建仓库。从数学基础、数据结构，到机器学习、深度学习、LLM、Agent、AI-Infra、语音与数据科学，通过「理解→推导→手写 → 运行 → 验证 → 复盘构建可持续迭代的知识体系。

MLO-lab / LeVJEPA

Efficient & Scalable Video Pretraining without the Heuristics

jexp / neo4jev

Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships

explaindb / explaindb

A Database System built for Understandability

Nicolepcx / harness_engineering

This is the corresponding code for the O'Reilly book: Harness Engineering

NVDLI / fundamentals-of-deep-learning

DLI Fundamentals of Deep Learning

justxor / math-for-ai-2026

Курс-шпаргалка по математике для ИИ и ML 2026: линейая алгебра, матанализ, оптимизация, вероятности, стаистика, теория информации, трансформеры, диффузия, LM. Формулы, картинки, код, 40 задач, 100 вопросов

IIC2233 / Syllabus

Repositorio principal del curso IIC2233 para el semestre 2026-2

shahidazam2020-oss / A-Comparative-Machine-Learning-Framework-for-Heart-Attack-Risk-Prediction-Using-Data-Preprocessing

This project presents a comparative machine learning framework for heart attack risk prediction using Python. It includes data preprocessing, feature engineering, SMOTE for class balancing, cross validation, and performance evaluation of multiple ML models.

navaneethkrishnansuresh / Inference-Engineering

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GrEarl / microgpt-lesson

高校生向けLLM教材: Karpathy microgptベース，Google Colab用

Elite588 / Hacker

This repository is maintained by Hex Core and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org

yunxiao11xie / ai-to-edge-deployment

从 AI 基础到端侧部署优化：面向嵌入式工程师的完整学习路线

RadixRootMind / RadixQuantVLA

RadixQuantVLA is a unified, Lego-like framework for post-training quantization, benchmarking, and deployment preparation of Vision-Language-Action models, integrating QuantVLA, Omega-QVLA, OpenVLA, UniVLA, StarVLA, GR00T, and Pi0.5 routes with standardized launchers and validation on LIBERO benchmarks.

DataFabric-Academy / ms-fabric-data-science

Hands-on Microsoft Fabric Data Science labs (FreshMart churn) with Thai study notes, PySpark/MLflow, and DP-604-aligned learning path.

wenqi9115-glitch / systematic-etf-relative-strength-alpha-attribution

Systematic ETF relative-strength research, overlapping-sleeve portfolio construction, LEAN implementation, and factor attribution.

anupkelkar02 / CP_Practical

All notebooks in the CP LAB

dave-137 / quantum-experiments

Personal quantum-computing experiments with Cirq and Mitiq.

Yunfan-Wang / Scalable-Agentic-Market-Simulator

SAMS - Scalable Agentic Market Simulator, a next gen AI finance automation paradigm, suitable for high frequency scenario while built for continuous learning and more sophisticated market simulation.

iam-veeramalla / RAG-crash-course

Learn RAG practically from absolute basics

PixelML / club-170hx

Community-tested recipes, diagnostics, and benchmarks for CMP 170HX AI workloads

IIC2233 / contenidos

Contenidos para el semestre 2026-2

mahmoodlab / CORAL

Spatial biology processing suite

Alif1642 / ai-traffic-violation-detection

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FareedKhan-dev / agentic-knowledge-graph

Knowledge-graph RAG built from structured metadata instead of LLM extraction. 929M edges, zero LLM calls, 83.2% on held-out PubMedQA. Case study: the full PubMed 2026 baseline.

Prasannajaga / deployment-guide

Deployment & experimentation of LLM inference at production scale (P/D disaggregation, KV offloading, parallelism, and autoscaling).

AlexKrasnok / quantum-computing-lectures

Open quantum computing course for teaching, self-study, exam preparation, and quantum-technology career preparation.

leochlon / secant

RoPE attention is an exact forward-pass gradient step with softmax intact

imdigitalashish / gpt-from-scratch

A single executed notebook building and training a small GPT with RoPE and a phase-aware sparse MoE experiment

SweiryDev / MicroCNN-TangNano20k

SystemVerilog SoC implementing MicroCNN accelerator on the Tang Nano 20K for BloodMNIST image classification.

jaswantlhz / QGSS-26-Resources

Comprehensive archive of IBM Qiskit Global Summer School 2026 (QGSS '26) lecture slides, C++/Python lab walkthroughs, code notebooks, reading strategies, and a curated 80+ item Quantum Computing & QML resource collection.