lalithnag

lalithnag's Stars

• apple/ml-depth-pro

  Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

  Language:Python3.8k267

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.1k5.8k

• dk-liang/Awesome-Visual-Transformer

  Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

  3.4k400

• med-air/Endo-FM

  [MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

  Language:Python16416

• wingedrasengan927/Stereo-Geometry

  A comprehensive tutorial on Stereo Geometry and Stereo Rectification

  Language:Jupyter Notebook172

• darylclimb/cvml_project

  Projects and application using computer vision and machine learning

  Language:Python27989

• google-research/tuning_playbook

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

  27.5k2.3k

• lvzhaoyang/DeeperInverseCompositionalAlgorithm

  Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral)

  Language:Python15629

• Eliasvan/Multiple-Quadrotor-SLAM

  Multiple Quadrotor SLAM

  Language:Shell3719

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.5k7.9k

• nburrus/stereodemo

  Small Python utility to compare and visualize the output of various stereo depth estimation algorithms

  Language:Python14412

• jannisborn/paperscraper

  Tools to scrape publication metadata from pubmed, arxiv, medrxiv and chemrxiv.

  Language:Python27333

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python34.4k5.9k

• amusi/awesome-object-detection

  Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

  7.4k1.9k

• JonathonLuiten/TrackEval

  HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).

  Language:Python989247

• shenh10/mot_evaluation

  A python implementation of Multiple Object Tracking(MOT) evaluation toolkit(2D)

  Language:Python5421

• lppllppl920/SAGE-SLAM

  Official repo for the paper "SAGE: SLAM with Appearance and Geometry Prior for Endoscopy" (ICRA 2022)

  Language:C++10110

• Smorodov/Multitarget-tracker

  Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

  Language:C++2.2k651

• The-Learning-And-Vision-Atelier-LAVA/Stereo-Image-SR

  A Collection of Algorithms and Datasets for Stereo Image Super-Resolution

  17318

• TheShadow29/research-advice-list

  A compilation of research advice.

  21516

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.6k3.4k

• ruiliu-ai/StereoGAN

  Official Pytorch implementation of "StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching" (CVPR'20)

  Language:Python348

• toshas/torch-fidelity

  High-fidelity performance metrics for generative models in PyTorch

  Language:Python1k68

• prigoyal/pytorch_memonger

  Experimental ground for optimizing memory of pytorch models

  Language:Python36034

• NVIDIA/apex

  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

  Language:Python8.5k1.4k

• quentinf00/article-memory-log

  Implémentation of the article **Deep Learning CUDA Memory Usage and Pytorch optimization tricks**

  Language:Python426

• Fdevmsy/PyTorch-Soft-Argmax

  PyTorch implementation of Soft-Argmax in 1D/2D/3D

  Language:Jupyter Notebook469

• wkentaro/labelme

  Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

  Language:Python13.7k3.4k

• POSTECH-CVLab/PyTorch-StudioGAN

  StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

  Language:Python3.4k344

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9k1.8k