Reference PyTorch implementation and models for DINOv3
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Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
- numpy
- python
- linear-algebra
- data-science
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
- sagemaker
- aws
- reinforcement-learning
- machine-learning
Code release for NeRF (Neural Radiance Fields)
- nerf
- neural-radiance-fields
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
- pytorch
- speech-processing
- speaker-diarization
- speech-activity-detection
TranslatedConvert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。
- dain
- huoshan-tts
- microsoft-tts
- rife-gui
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
TranslatedMy continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides), with video links
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
- inpainting
- inpainting-methods
- inpainting-algorithm
- computer-vision
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
- deep-learning
- text-to-speech
- python
- pytorch
TranslatedBook_4_"The Power of Matrices" | Iris Book: From Addition, Subtraction, Multiplication and Division to Machine Learning; now on sale!
Understanding Deep Learning - Simon J.D. Prince
Translated🌊Deeply integrates top global academic, financial, and educational resources: the academic section gathers papers from authoritative platforms such as JSTOR, Taylor & Francis, and Cambridge University Press, and connects to the vast e-book collection of the Z-Library shadow library; the education section includes textbooks from Hong Kong and Singapore, from primary school through high school, as well as university subject textbooks; the financial section aggregates in-depth research reports from top institutions such as Citron (香橼), Morgan, and Nomura, all in order to break down information silos and build an inclusive knowledge base that provides equal access to knowledge.
- academic
- economics
- humanities
- research
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
- machine-learning
- python
- data-science
- automl
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
- machine-learning
- machine-learning-algorithms
- ai
- deep-learning
A collection of pre-trained, state-of-the-art models in the ONNX format
- onnx
- models
- download
- pretrained
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.
Automatic extraction of relevant features from time series:
- data-science
- feature-extraction
- time-series
TensorFlow Tutorials with YouTube Videos
TranslatedInterview = Resume Guide + Algorithm Problems + Standard Interview Q&A (八股文, "eight-legged essay") + Source Code Analysis
- python
- kaggle
- machine-learning
- leetcode
Lab Materials for MIT 6.S191: Introduction to Deep Learning
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
- auto-regressive-model
- diffusion-models
- image-generation
- transformers
My blogs and code for machine learning. http://cnblogs.com/pinard
- machinelearning
- algorithms
- scikit-learn
- reinforcementlearning