JH-GEECS

JH-GEECS's Stars

• IntelLabs/academic-budget-bert

  Repository containing code for "How to Train BERT with an Academic Budget" paper

  Language:Python30946

• InhwanBae/LMTrajectory

  Official Code for "Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction (CVPR 2024)"

  Language:Python775

• JinhwiPark/DepthPrompting

  [CVPR24] Depth Prompting for Sensor-Agnostic Depth Estimation

  Language:Python223

• microsoft/BridgeTower

  Open source code for AAAI 2023 Paper "BridgeTower: Building Bridges Between Encoders in Vision-Language Representation Learning"

  Language:Python1456

• ssyze/EVE

  EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE

  Language:Python91

• Alibaba-MIIL/ImageNet21K

  Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

  Language:Python71971

• rom1504/img2dataset

  Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

  Language:Python3.6k331

• igorbrigadir/DownloadConceptualCaptions

  Reliably download millions of images efficiently

  Language:Jupyter Notebook11023

• facebookresearch/ImageBind

  ImageBind One Embedding Space to Bind Them All

  Language:Python8.2k751

• facebookresearch/xformers

  Hackable and optimized Transformers building blocks, supporting a composable construction.

  Language:Python8.3k581

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python25.8k2.9k

• NVIDIA/Megatron-LM

  Ongoing research training transformer models at scale

  Language:Python9.8k2.2k

• OFA-Sys/ONE-PEACE

  A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

  Language:Python92157

• facebookresearch/MetaCLIP

  ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering

  Language:Python1.2k49

• rabeehk/compacter

  Language:Python12615

• activatedgeek/tight-pac-bayes

  Code for PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization, NeurIPS 2022

  Language:Jupyter Notebook142

• TsinghuaC3I/SoRA

  The source code of the EMNLP 2023 main conference paper: Sparse Low-rank Adaptation of Pre-trained Language Models.

  Language:Python588

• ByungKwanLee/MoAI

  Official PyTorch implementation code for realizing the technical part of Mixture of All Intelligence (MoAI) to improve performance of numerous zero-shot vision language tasks. (Under Review)

  Language:Python29828

• kellwinr/galaxybook_mask

  This script will allow you to mimic your windows pc as a Galaxy Book laptop, this is usually used to bypass Samsung Notes

  Language:Batchfile1k93

• philschmid/deep-learning-pytorch-huggingface

  Language:Jupyter Notebook614142

• princeton-nlp/DinkyTrain

  Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃

  Language:Python1118

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python13.2k1.2k

• cvxgrp/cvxpylayers

  Differentiable convex optimization layers

  Language:Python1.8k159

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook13.2k3.2k

• ray-project/ray

  Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python32.8k5.6k

• sangho-vision/avbert

  Language:Python315

• allenai/unified-io-inference

  Language:Jupyter Notebook21426

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python6.7k513

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python19.4k2.5k

• meta-llama/llama

  Inference code for Llama models

  Language:Python55.3k9.4k