rasbt / LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
rasbt / LLMs-from-scratch
guipsamora / pandas_exercises
Practice your pandas skills!
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。
hemansnation / AI-Engineer-Headquarters
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
AkashSingh3031 / The-Complete-FAANG-Preparation
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
peterdsharpe / AeroSandbox
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
calmrocks / ai-engineer-notebooks
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.
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.
sokrypton / ColabFold
Making Protein folding accessible to all!
milvus-io / bootcamp
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
The-FinAI / PIXIU
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
borglab / gtsfm
End-to-end SFM framework based on GTSAM
a-r-j / graphein
Protein Graph Library
AnswerDotAI / fastcore
Python supercharged for the fastai library
erdogant / bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
wenqi9115-glitch / systematic-etf-relative-strength-alpha-attribution
Systematic ETF relative-strength research, overlapping-sleeve portfolio construction, LEAN implementation, and factor attribution.
arjun988 / promptModel
PromptForge scores LLM prompts across seven quality dimensions, then rewrites weak prompts into clear, intent-preserving instructions
RamzanPUCIT / DSA-Lab-Manual
16-week Python-based Data Structures & Algorithms lab manual for University of Okara (Fall 2026): lab manuals, Colab notebooks, tasks and LeetCode practice.
neo4j-labs / llm-graph-builder
Neo4j graph construction from unstructured data using LLMs