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🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!
A collection of (mostly) technical things every software developer should know about
Master programming by recreating your favorite technologies from scratch.
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
llama3 implementation one matrix multiplication at a time
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
📺 Discover the latest machine learning / AI courses on YouTube.
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Chromium fork named after radioactive element No. 90. Windows and MacOS/Raspi/Android/Special builds are in different repositories, links are towards the top of the README.md.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive arch…
🔊 Text-Prompted Generative Audio Model
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Leverage Deep Learning to digitize old Vietnamese handwritten for historical document archiving (Made with national pride in every single line of code): https://www.kaggle.com/datasets/quandang/nom…
What happens behind the scenes when we type www.google.com in a browser?
How to systematically secure anything: a repository about security engineering
Everything you need to prepare for your technical interview
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
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 ;)
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Sequence to Sequence Models with PyTorch
Tree edit distance using the Zhang Shasha algorithm
Tensors and Dynamic neural networks in Python with strong GPU acceleration
End-to-End Object Detection with Transformers
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
Using Pytorch's nn.Transformer module to create an english to french neural machine translation model.
Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition