Starred repositories
🦜🔗 Build context-aware reasoning applications
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
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。
📡 Simple and ready-to-use tutorials for TensorFlow
Natural Language Processing Tutorial for Deep Learning Researchers
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Official inference library for Mistral models
Build your neural network easy and fast, 莫烦Python中文教学
MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.
Code for Tensorflow Machine Learning Cookbook
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
仅需Python基础,从0构建大语言模型;从0逐步构建GLM4\Llama3\RWKV6, 深入理解大模型原理
MTEB: Massive Text Embedding Benchmark
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
A curated list of awesome embedding models tutorials, projects and communities.
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone
Materials for DGL hands-on tutorial in WWW 2020
Approximating Wasserstein distances with PyTorch
This repository provides data and scripts to use Sherlock, a DL-based model for semantic data type detection: https://sherlock.media.mit.edu.
Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]
Code and data for "TURL: Table Understanding through Representation Learning"
Source Code for 'PyTorch Recipes' by Pradeepta Mishra