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EMNLP 2021 - Pre-training architectures for dense retrieval
Supercharge huggingface transformers with model parallelism.
Public quant internship repository, maintained by NUFT but available for everyone.
Everything you want to know about Google Cloud TPU
The official implementation of Self-Play Fine-Tuning (SPIN)
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
KAIST. CS492 Algorithms for NP-hard Problems. Spring 2024.
Code for "Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings"
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well a…
Painter & SegGPT Series: Vision Foundation Models from BAAI
A Unified Library for Parameter-Efficient and Modular Transfer Learning
A playbook for systematically maximizing the performance of deep learning models.
A fast and lightweight python-based CTC beam search decoder for speech recognition.
The repository for the code of the UltraFastBERT paper
An official PyTorch implementation of "Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models", OOD-CV Workshop in ICCV'23
ACL'23: Unified Demonstration Retriever for In-Context Learning
[ ICCV CVAMD 2023] Official implementation of "CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray Classification" 🏆 1st place solution 🏆 for the ICCV…
This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization" ICCV 2023
[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
ImageBind One Embedding Space to Bind Them All