MikeySaw

MikeySaw's Stars

• nhaH-luaP/PyEat

  Language:Python1

• YecanLee/min-LSTM-torch

  Unofficial PyTorch Implementation of "Were RNNs All We Needed?"

  Language:Python3

• YecanLee/2BeOETG

  Official PyTorch Implementation of "Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework"

  Language:R5

• DBD-research-group/BirdSet

  A benchmark dataset collection for bird sound classification

  Language:Jupyter Notebook258

• cwx-worst-one/EAT

  [IJCAI 2024] EAT: Self-Supervised Pre-Training with Efficient Audio Transformer

  Language:Python1134

• microsoft/unilm

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

  Language:Python20.1k2.5k

• 71/stadiacontroller

  Command line application that emulates an Xbox 360 controller from a wired Stadia controller on Windows.

  Language:Go17822

• YecanLee/Adaptive-Contrastive-Search

  [EMNLP 2024 Findings] Official PyTorch Implementation of "Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation"

  Language:Python493

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook9.2k817

• karolpiczak/ESC-50

  ESC-50: Dataset for Environmental Sound Classification

  Language:Python1.4k289

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook15.1k1.4k

• 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:Python96463

• webdataset/webdataset

  A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

  Language:Python2.3k187

• YecanLee/uce_applied_deep_learning

  This repo includes the content for "Applied Deep Learning Course" in LMU, Munich, Germany, WS23/24

  Language:Python23