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
microsoft / generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI
rasbt / LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
mrdbourke / zero-to-mastery-ml
Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
UFund-Me / Qbot
Open-source AI-oriented quantitative investment platform covering data, strategy research, backtesting, simulated and live trading.
alirezadir / AIMLInterviews
A study guide and interview-prep curriculum for AI/ML technical roles at big tech, covering coding, ML breadth, system design, and behavioral rounds.
microsoft / ML-For-Beginners
A 12-week, 26-lesson beginner curriculum on classic machine learning using Scikit-learn, with quizzes and projects in Python and R.
facebookresearch / audiocraft
PyTorch library for audio generation research, providing inference and training code for MusicGen, AudioGen, and EnCodec.
microsoft / Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
pyannote / pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
DataTalksClub / data-engineering-zoomcamp
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
gepa-ai / gepa
Optimize prompts, code, and more with AI-powered Reflective Optimization
ajcr / 100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
DataTalksClub / mlops-zoomcamp
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
DataTalksClub / machine-learning-zoomcamp
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
hoochanlon / hamuleite
🌊深度整合全球顶尖学术、金融与教育资源：学术板块汇聚 JSTOR、Taylor & Francis、剑桥大学出版社等权威平台的论文，并接入 Z-Library 影子图书馆的海量电子书；教育板块收录香港、新加坡从小学到高中以及大学学科教科书；金融板块则聚合香橼、摩根、野村等顶级机构的深度研报，只为打破信息孤岛，构建知识平权普惠知识库。
hugo2046 / QuantsPlaybook
Python and Jupyter reproductions of quant strategies from Chinese brokerage research reports, covering A-share timing, factors, value and portfolio optimization.
AI4Finance-Foundation / FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
DataTalksClub / llm-zoomcamp
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
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.
roboflow / notebooks
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
h2oai / h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
microsoft / FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Visualize-ML / Linear-Algebra-Made-Easy---Learn-with-Python-and-Visualization
”数学不难“ 之 《线性代数不难》上下册，66话题完册；欢迎批评指正
bbruceyuan / LLMs-Zero-to-Hero
从无名小卒到大模型（LLM）大英雄~ 欢迎关注后续！！！
datawhalechina / diy-llm
Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐，6 项渐进代码作业，掌握 LLM 全栈知识
Azure / AzurePublicDataset
Microsoft Azure Traces
aws / amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
snakers4 / silero-models
Silero Models: pre-trained text-to-speech models made embarrassingly simple
oracle-devrel / oracle-ai-developer-hub
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
microsoft / PhiCookBook
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
meta-pytorch / botorch
Bayesian optimization in PyTorch
zjunlp / EasyEdit
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
szcf-weiya / ESL-CN
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
FurkanGozukara / Stable-Diffusion
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod
Xilinx / PYNQ
Python Productivity for ZYNQ
Tanu-N-Prabhu / Python
This repository helps you learn Python and Machine Learning from scratch.
jamesturk / jellyfish
🪼 a python library for doing approximate and phonetic matching of strings.
aws-samples / amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
Azure / azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
microsoft / edgeai-for-beginners
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
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.
TommyZihao / vlm_arm
机械臂+大模型+多模态=人机协作具身智能体
roatienza / Deep-Learning-Experiments
Videos, notes and experiments to understand deep learning
MIC-DKFZ / batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
NirDiamant / Agent_Memory_Techniques
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
DataTalksClub / stock-markets-analytics-zoomcamp
Course Materials for Analytics in Stock Markets Zoomcamp
daniestevez / gr-satellites
GNU Radio decoder for Amateur satellites
Azure / azure-search-vector-samples
A repository of code samples for Vector search capabilities in Azure AI Search.
joreilly / BikeShare
SwiftUI, Jetpack Compose, Compose for Desktop and Compose for Web based Kotlin Multiplatform project (using CityBikes API http://api.citybik.es/v2/). Uses Room for local persistence
d3blocks / d3blocks
The Python library to create stand-alone and interactive d3 charts.
GitIndonesia / awesome-indonesia-repo
A curated list of amazingly awesome repository created and contributed by Indonesian people.
pavelkomarov / exportify
Export Spotify playlists using the Web API. Analyze them in the Jupyter notebook.
khalil-research / PyEPO
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
QInzhengk / Math-Model-and-Machine-Learning
数学建模和机器学习/深度学习/大模型的笔记和资料（持续更新中......）。
HenriquesLab / ZeroCostDL4Mic
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
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.
Q-transmon-xmon / EDA-Q
EDA-Q is a full-stack electronic design automation (EDA) tool for quantum chip design, supporting both superconducting and trapped-ion quantum computing architectures. The platform enables researchers and engineers to efficiently design, simulate, and optimize quantum chips.
huggingface / optimum-intel
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
jMetal / jMetalPy
A framework for single/multi-objective optimization with metaheuristics