Idate96

Idate96's Stars

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python70.9k8.4k

• bitsandbytes-foundation/bitsandbytes

  Accessible large language models via k-bit quantization for PyTorch.

  Language:Python6.3k626

• ikostrikov/walk_in_the_park

  Language:Python24433

• NVlabs/MinVIS

  Language:Python26523

• facebookresearch/msn

  Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)

  Language:Python44933

• carbon-language/carbon-lang

  Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)

  Language:C++32.3k1.5k

• wjf5203/VNext

  Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))

  Language:Python60253

• hkchengrex/MiVOS

  [CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!

  Language:Python46964

• hkchengrex/XMem

  [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

  Language:Python1.8k193

• MasterBin-IIAU/Unicorn

  [ECCV'22 Oral] Towards Grand Unification of Object Tracking

  Language:Python95087

• lucidrains/mixture-of-experts

  A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models

  Language:Python63849

• libigl/libigl

  Simple MPL-2.0-licensed C++ geometry processing library.

  Language:C++4.6k1.1k

• chaytonmin/Occupancy-MAE

  Official implementation of our TIV'23 paper: Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders

  Language:Python25118

• CodedotAl/gpt-code-clippy

  Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57

  Language:Python3.3k224

• clementchadebec/benchmark_VAE

  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

  Language:Python1.8k163

• facebookresearch/omnivore

  Omnivore: A Single Model for Many Visual Modalities

  Language:Python55939

• leggedrobotics/open3d_slam

  Pointcloud-based graph SLAM written in C++ using open3D library.

  Language:C++51251

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.6k2.4k

• voxel51/fiftyone

  Refine high-quality datasets and visual AI models

  Language:Python8.9k557

• mit-han-lab/bevfusion

  [ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

  Language:Python2.3k420

• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Language:Python8.8k1.3k

• traveller59/spconv

  Spatial Sparse Convolution Library

  Language:Python1.9k365

• sshaoshuai/PV-RCNN

  PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection, CVPR 2020.

  17814

• ADLab-AutoDrive/BEVFusion

  Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

  Language:Python751102

• patrick-kidger/equinox

  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

  Language:Python2.1k142

• lucidrains/PaLM-jax

  Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)

  Language:Python18512

• lucidrains/imagen-pytorch

  Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

  Language:Python8.1k767

• facebookresearch/SlowFast

  PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

  Language:Python6.6k1.2k

• implus/UM-MAE

  Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"

  Language:Jupyter Notebook23821

• google/ml_collections

  ML Collections is a library of Python Collections designed for ML use cases.

  Language:Python89340