edwardzhou130

edwardzhou130's Stars

• meta-llama/llama-models

  Utilities intended for use with Llama models.

  Language:Python5k854

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.3k3.1k

• shengnanh20/LAMP

  Language:Python171

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.4k2.3k

• Lynn0306/DVS-Voltmeter

  ECCV2022 'DVS-Voltmeter: Stochastic Process-based Event Simulator for Dynamic Vision Sensors'

  Language:Python363

• facebookresearch/MaskFormer

  Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

  Language:Python1.4k153

• zeliu98/Group-Free-3D

  Group-Free 3D Object Detection via Transformers

  Language:Python24433

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python14k2.1k

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.7k2.5k

• google-research/vision_transformer

  Language:Jupyter Notebook10.6k1.3k

• tianweiy/CenterPoint

  Language:Python1.9k458

• donnyyou/torchcv

  TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision

  Language:Shell2.3k378

• stevenygd/PointFlow

  PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

  Language:Python741100

• uber-research/UPSNet

  UPSNet: A Unified Panoptic Segmentation Network

  Language:Python649119

• bowenc0221/panoptic-deeplab

  This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

  Language:Python591117

• miguelvr/dropblock

  Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

  Language:Python58895

• HuguesTHOMAS/KPConv

  Kernel Point Convolutions

  Language:Python713130

• HRNet/HRNet-Semantic-Segmentation

  The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

  Language:Python3.2k691

• XiaLiPKU/EMANet

  The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

  Language:Python682129

• speedinghzl/CCNet

  CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

  Language:Python1.4k276

• ozan-oktay/Attention-Gated-Networks

  Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

  Language:Python1.9k425

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.3k9.6k

• PRBonn/lidar-bonnetal

  Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

  Language:Python962206

• maxbbraun/trump2cash

  A stock trading bot powered by Trump tweets

  Language:Python6.3k865

• BichenWuUCB/SqueezeSeg

  Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

  Language:Python565239

• sadeepj/crfasrnn_keras

  CRF-RNN Keras/Tensorflow version

  Language:Python603169

• fyu/drn

  Dilated Residual Networks

  Language:Python1.1k219

• mrgloom/awesome-semantic-segmentation

  :metal: awesome-semantic-segmentation

  10.5k2.5k

• 996icu/996.ICU

  Repo for counting stars and contributing. Press F to pay respect to glorious developers.

  270k21.1k

• TadasBaltrusaitis/OpenFace

  OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

  Language:MATLAB7k1.9k