Open Academic Research on Improving LLaMA to SOTA LLM

All available datasets for Instruction Tuning of Large Language Models

Forward-Looking Active REtrieval-augmented generation (FLARE)

Awesome-LLM: a curated list of Large Language Model

Inference code for Llama models

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Must-read Papers on pre-trained language models.

PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22

SparCL: Sparse Continual Learning on the Edge @ NeurIPS 22

Awesome Incremental Learning

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

This repo is for paper Deep Bayesian Unsupervised Lifelong Learning

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Must-read papers on prompt-based tuning for pre-trained language models.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

A list of deep learning implementations in biology

TensorFlow - A curated list of dedicated resources http://tensorflow.org

Little More Advanced TensorFlow Implementations

Keras code and weights files for popular deep learning models.

岳昕：致北大师生与北大外国语学院的一封公开信