Stars
Ongoing research training transformer models at scale
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Hackable and optimized Transformers building blocks, supporting a composable construction.
Proxy server to bypass Cloudflare protection
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
A simple but complete full-attention transformer with a set of promising experimental features from various papers
Modeling, training, eval, and inference code for OLMo
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Interact with your SQL database, Natural Language to SQL using LLMs
Agentic components of the Llama Stack APIs
PyTorch implementation of Contrastive Learning methods
yuyuyzl / EasyVtuber
Forked from GunwooHan/EasyVtubertha3, but run 40fps on 3080 with virtural webcam support
Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
Automated CAPTCHA solver usage examples.
A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models
Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions
The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)
Artificial intelligence learn playing any game with watching you.
An implementation of masked language modeling for Pytorch, made as concise and simple as possible
Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification