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written in Jupyter Notebook
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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A game theoretic approach to explain the output of any machine learning model.
Learn OpenCV : C++ and Python Examples
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
High-Resolution Image Synthesis with Latent Diffusion Models
This repository contains demos I made with the Transformers library by HuggingFace.
Code release for NeRF (Neural Radiance Fields)
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Best Practices, code samples, and documentation for Computer Vision.
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 YOLO11, RT-DETR, SAM …
A course in reinforcement learning in the wild
Taming Transformers for High-Resolution Image Synthesis
A scikit-learn compatible neural network library that wraps PyTorch
Silero Models: pre-trained text-to-speech models made embarrassingly simple
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
A computer science textbook
Probabilistic reasoning and statistical analysis in TensorFlow
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Машинное обучение на ФКН ВШЭ
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
A Haskell kernel for the Jupyter project.
Handout for the tutorial "Creating publication-quality figures with matplotlib"
A proof-of-concept jupyter extension which converts english queries into relevant python code