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Training Sparse Autoencoders on Language Models
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
Comprehensive PyTorch tutorial for learning and interview preparation - covers basics to advanced topics with hands-on examples
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题
A repository that will hold my experiments with various variational models
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
We write sample code for two tower models for retrieval and add RLHF/RLAIF style alignment with a ranking model to make the retrieval more aligned with the ranking model on top
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Projects which use RNNs, and advanced implementations such as LSTMs and GRUs.
Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
A python library for self-supervised learning on images.
Source code for the X Recommendation Algorithm
Must-read papers on graph neural networks (GNN)
Master programming by recreating your favorite technologies from scratch.
Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
A curated list of data mining papers about fraud detection.
PyTorch Tutorial for Deep Learning Researchers
An unofficial styleguide and best practices summary for PyTorch