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A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

A course on neural networks that starts all the way at the basics. The course is a series of YouTube videos where we code and train neural networks together. The Jupyter notebooks we build in the videos are then captured here inside the lectures directory.

A curated list of awesome Deep Learning tutorials, projects and communities.

This repository provides tutorial code for deep learning researchers to learn PyTorch. In the tutorial, most of the models were implemented with less than 30 lines of code. Before starting this tutorial, it is recommended to finish Official Pytorch Tutorial.

The purpose of this project is not to produce as optimized and computationally efficient algorithms as possible but rather to present the inner workings of them in a transparent and accessible way.

This document is for engineers and researchers (both individuals and teams) interested in maximizing the performance of deep learning models. We assume basic knowledge of machine learning and deep learning concepts.

Anime4K is a set of open-source, high-quality real-time anime upscaling/denoising algorithms that can be implemented in any programming language.

邱锡鹏《神经网络与深度学习》第二版与通识版：电子书、章节目录、学习资源与勘误。

This is a joint effort of many people. You can see the list of contributors here: contributors.md

Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, PyTorch, and OpenVINO (for inference-only).

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

吴恩达老师的机器学习课程个人笔记

3 快速搭建你的第一个系统，并进行迭代(Build your first system quickly, then iterate)

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

7. 10 here. I will not be updating the current repository for Python 3 compatibility.

FaceSwap is a tool that utilizes deep learning to recognize and swap faces in pictures and videos.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

All yandex dist links went bad, you can download the model from the

Cadence's goal is a continuing learning system with the flexibility of animal and human problem solving: acquiring skills from experience, retaining useful knowledge, imagining alternatives and creating solutions across domains.

This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations,

NOTE: this course does not yet exist. It is current being developed by Eureka Labs. Until it is ready I am archiving this repo !!!

spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products.

deep learning for image processing including classification and object-detection etc.

machine learning and deep learning tutorials, articles and other resources

This repository contains implementations and illustrative code to accompany DeepMind publications.

A docker image containing the code and the dependencies is available on DockerHub. 03):

This is a release of 24 smaller BERT models (English only, uncased, trained with WordPiece masking) referenced in Well-Read Students Learn Better: On the Importance of Pre-training Compact Models.