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Official Pytorch Implementation of "Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN" by Pengxiang Li, Lu Yin, Shiwei Liu
LLM (Large Language Model) FineTuning
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
An opinionated, actionable guide for software engineering interviews.
📖A curated list of Awesome LLM/VLM Inference Papers with codes: WINT8/4, Flash-Attention, Paged-Attention, Parallelism, etc. 🎉🎉
Collection of papers on state-space models
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Awesome-LLM: a curated list of Large Language Model
Code accompanying the paper "Massive Activations in Large Language Models"
Awesome Resources for Advanced Computer Vision Topics
Materials about Privacy-Preserving Machine Learning
🧠 A study guide to learn about Transformers
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Paper implementations from scratch and machine learning tutorials
A framework for Privacy Preserving Machine Learning
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
A curated list of multi party computation resources and links.
All Algorithms implemented in Python