MLman

MLman's Stars

• chiphuyen/stanford-tensorflow-tutorials

  This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

  Language:Python10.3k6221084.3k

• zackchase/mxnet-the-straight-dope

  An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

  Language:Jupyter Notebook2.6k137200723

• ChenHsing/Awesome-Video-Diffusion-Models

  [CSUR] A Survey on Video Diffusion Models

  1.9k531596

• seongjunyun/Graph_Transformer_Networks

  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

  Language:Jupyter Notebook1k1243179

• sharebook-kr/pykiwoom

  Python Wrapper for Kiwoom OpenAPI+

  Language:Python10312359

• mlvlab/SPoTr

  Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).

  Language:Python1005296

• mlvlab/Flipped-VQA

  Large Language Models are Temporal and Causal Reasoners for Video Question Answering (EMNLP 2023)

  Language:Python745239

• mlvlab/DAVI

  Official Implementation (Pytorch) of "DAVI: Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems", ECCV 2024 Oral paper

  Language:Python63612

• mlvlab/SELAR

  Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.

  Language:Python534612

• mlvlab/RPO

  Official Implementation of "Read-only Prompt Optimization for Vision-Language Few-shot Learning", ICCV 2023

  Language:Python52316

• mlvlab/COSE474

  COSE474: Deep Learning @ Korea University

  Language:Jupyter Notebook3511010

• mlvlab/MELTR

  MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models (CVPR 2023)

  Language:Python33757

• hanchaa/Drone_Challenge

  Archive for AI grand challenge

  Language:Python212013

• mlvlab/OVQA

  Open-Vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models (ICCV 2023)

  Language:Python18510

• mlvlab/AGC2022_Task1_Detection

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• mlvlab/AGC2022_Task2_PeopleCounting

  Language:Python172012

• mlvlab/AGC2022_Task3_OCR

  Language:Python172012

• mlvlab/drone_ai_challenge

  2021 Drone AI challenge

  Language:Python163011

• mlvlab/VT-TWINS

  Video-Text Representation Learning via Differentiable Weak Temporal Alignment (CVPR 2022)

  Language:Python16001

• mlvlab/CoBO

  Official PyTorch Implementation for Advancing Bayesian Optimization via Learning Correlated Latent Space (CoBO)

  Language:Python11413

• mlvlab/DFC609-2022S

  Basic Artificial Intelligence Theory

  Language:Jupyter Notebook117055

• mlvlab/PDC

  Language:Python10430

• mlvlab/d2l-pytorch

  This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

  Language:Jupyter Notebook910137

• mlvlab/CPC_HOI

  Official PyTorch Implementation for CVPR2022 paper "Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection"

  8701

• MLman/Riem-CCA

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• MLman/kgmm_interpolation

  Interpolation on the manifold of k component GMMs

  Language:Matlab4124

• MLman/riem-mglm-cvpr2014

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• mlvlab/Hands-On-Graph-Neural-Networks-Using-Python

  Hands-On Graph Neural Networks Using Python, published by Packt

  Language:Jupyter Notebook2002

• MLman/DP-MMGLM

  Manifold-valued Dirichlet Processes on SPD manifolds

  1100

• MLman/SELAR

  Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.

  Language:Python1000