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Python - 100天从新手到大师
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Learn how to design, develop, deploy and iterate on production-grade ML applications.
PyTorch Tutorial for Deep Learning Researchers
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Natural Language Processing Tutorial for Deep Learning Researchers
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
A collection of resources and papers on Diffusion Models
Build your neural network easy and fast, 莫烦Python中文教学
A resource for learning about Machine learning & Deep Learning
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
Notes about courses Dive into Deep Learning by Mu Li
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates. - Professor Yu Liu
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendati…
A comprehensive list of awesome contrastive self-supervised learning papers.
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
A curated list of prompt-based paper in computer vision and vision-language learning.
A comprehensive list of Awesome Contrastive Learning Papers&Codes.Research include, but are not limited to: CV, NLP, Audio, Video, Multimodal, Graph, Language, etc.
PyTorch Computer Vision Cookbook, Published by Packt
A list of contrastive Learning papers