lyogavin / airllm
Python library that runs large language model inference layer by layer, so 70B-class models fit on a single 4GB GPU without quantization.
lyogavin / airllm
mrdbourke / zero-to-mastery-ml
Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
google-research / google-research
Monorepo of research code and datasets released by Google Research, spanning many subprojects.
microsoft / mcp-for-beginners
A beginner curriculum teaching the Model Context Protocol (MCP) with hands-on code examples in C#, Java, JavaScript, Rust, Python, and TypeScript.
NVIDIA-NeMo / Nemotron
Developer hub with training recipes, cookbooks, datasets, and end-to-end examples for building with NVIDIA's open Nemotron models.
py-why / EconML
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.
NVIDIA / dgx-spark-playbooks
Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.
fivethirtyeight / data
Public datasets and analysis code behind FiveThirtyEight's published articles and graphics.
alibaba / clusterdata
cluster data collected from production clusters in Alibaba for cluster management research
PolymathicAI / the_well
A 15TB Collection of Physics Simulation Datasets
martinpacesa / BindCraft
User friendly and accurate binder design pipeline
Azure / AzurePublicDataset
Microsoft Azure Traces
simpler-env / SimplerEnv
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
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.
mlmed / torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
huggingface / setfit
Efficient few-shot learning with Sentence Transformers
pedropro / TACO
🌮 Trash Annotations in Context Dataset Toolkit
ncbi / datasets
NCBI Datasets is a new resource that lets you easily gather data from across NCBI databases.
BlockchainCommons / Learning-Bitcoin-from-the-Command-Line
A complete course for learning Bitcoin programming and usage from the command
chenshuo / typeset
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CornellNLP / ConvoKit
ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.
cfgranda / ps4ds
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
EnoxSoftware / OpenCVForUnity
OpenCV for Unity (Untiy Asset Plugin)
deepset-ai / haystack-cookbook
👩🏻🍳 A collection of example notebooks using Haystack
microsoft / Dynamics-365-FastTrack-Implementation-Assets
Dynamics 365 FastTrack Implementation guides
grongier / GeomodelingPython
A set of Jupyter notebooks to learn the basics of geological modeling in Python
AnantVerma-2022 / KPMG_2_GLB
This repository contains the lecture materials, notebooks, code, datasets, assignments, demonstrations, and resources used during the Industry-Oriented AI Foundamentals Training Program conducted in August 2026.
StudyBuildCommunity / studybuild-data-cleaning-01
Project 01: Data Cleaning on a Real E-commerce Dataset
gtbook / robotics
Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
catboost / tutorials
CatBoost tutorials repository