BrainJS/brain.js
quality grade C, 59 out of 100🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,672 results
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
A WebGL accelerated JavaScript library for training and deploying ML models.
A plug-and-play library for parameter-efficient-tuning (Delta Tuning)
curated collection of papers for the nlp practitioner 📖👩🔬
Tribuo - A Java machine learning library
✍️ A carefully curated list of NLP paper summaries
HanLP作者的新书《自然语言处理入门》详细笔记!业界良心之作,书中不是枯燥无味的公式罗列,而是用白话阐述的通俗易懂的算法模型。从基本概念出发,逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。
Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
Data Science Roadmap from A to Z
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
Paddle.js is a web project for Baidu PaddlePaddle, which is an open source deep learning framework running in the browser. Paddle.js can either load a pre-trained model, or transforming a model from paddle-hub with model transforming tools provided by Paddle.js. It could run in every browser with WebGL/WebGPU/WebAssembly supported. It could also run in Baidu Smartprogram and WX miniprogram.
A primitive library for neural network
Laser for control mosquito, weed, and pest
Papers on Computational Advertising
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Visual localization made easy with hloc
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
Official Repository for the Uni-Mol Series Methods
Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
A learning rate range test implementation in PyTorch
Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.
24,540 repositories in the index in total.