1.DataTalksClub / machine-learning-zoomcamp
Learn ML engineering for free in 4 months! Register here 👇🏼
Ranked by Attention Score: stars gained over the last 180 complete days
1–100 of 222 by Attention Score · May 8, 2026 – Nov 3, 2026 (UTC)
Learn ML engineering for free in 4 months! Register here 👇🏼
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Reference PyTorch implementation and models for DINOv3
Google Research
Python training for business analysts and traders
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Companion webpage to the book "Mathematics For Machine Learning"
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词(Structured Prompt)提出者 📌 元提示词(Meta-Prompt)发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树
Your new Mentor for Data Science E-Learning.
PyTorch code and models for the DINOv2 self-supervised learning method.
Practice your pandas skills!
No description provided by the repository host.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A game theoretic approach to explain the output of any machine learning model.
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.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
This repository contains implementations and illustrative code to accompany DeepMind publications
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
Automatic extraction of relevant features from time series:
No description provided by the repository host.
No description provided by the repository host.
Performance analysis of predictive (alpha) stock factors
YSDA course in Natural Language Processing
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
High-Resolution Image Synthesis with Latent Diffusion Models
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Kubernetes Community Documentation
This repository contains demos I made with the Transformers library by HuggingFace.
QLoRA: Efficient Finetuning of Quantized LLMs
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Flax is a neural network library for JAX that is designed for flexibility.
The fastest way to create an HTML app
Foundational Models for State-of-the-Art Speech and Text Translation
Quantitative analysis, strategies and backtests
Portfolio and risk analytics in Python
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Playing Pokemon Red with Reinforcement Learning
A course in reinforcement learning in the wild
A multi-voice TTS system trained with an emphasis on quality
Natural Language Processing Tutorial for Deep Learning Researchers
Official inference library for Mistral models
The "Python Machine Learning (1st edition)" book code repository and info resource
stable diffusion webui colab
Toturials coming with the "data science roadmap" picture.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
LAVIS - A One-stop Library for Language-Vision Intelligence
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
No description provided by the repository host.
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.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Precision Medicine Knowledge Graph (PrimeKG)
Tutorials and programming exercises for learning Q# and quantum computing
《Python Cookbook》 3rd Edition Translation
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Convert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
llama3 implementation one matrix multiplication at a time
Implementing a Neural Network from Scratch
Pathology Foundation Model - Nature Medicine
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Foundation Models for Genomics & Transcriptomics
WebGL accelerated JavaScript molecular graphics library
Segment Anything for Microscopy
links to conference publications in graph-based deep learning
PRML algorithms implemented in Python
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Create delightful software with Jupyter Notebooks
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
This repository contains the source code for the paper First Order Motion Model for Image Animation
wtfpython的中文翻译/持续🚧.../ 能力有限,欢迎帮我改进翻译
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Microsoft Quantum Development Kit Samples
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Algorithms for outlier, adversarial and drift detection