Stars
Examples and guides for using the OpenAI API
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A game theoretic approach to explain the output of any machine learning model.
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Foundational Models for State-of-the-Art Speech and Text Translation
QLoRA: Efficient Finetuning of Quantized LLMs
An annotated implementation of the Transformer paper.
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
Efficient computing methods developed by Huawei Noah's Ark Lab
Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".
A pedagogical implementation of Autograd
[NeurIPS'23 Spotlight] "Mind2Web: Towards a Generalist Agent for the Web" -- the first LLM-based web agent and benchmark for generalist web agents
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-…
Generative Representational Instruction Tuning
Code repository for the paper - "Matryoshka Representation Learning"
HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates