siyucosmo

siyucosmo's Stars

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook39.9k416684.2k

• AnthonyCalandra/modern-cpp-features

  A cheatsheet of modern C++ language and library features.

  19.9k791612.1k

• microsoft/nni

  An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  Language:Python14.1k2842.1k1.8k

• lanpa/tensorboardX

  tensorboard for pytorch (and chainer, mxnet, numpy, ...)

  Language:Python7.9k84453863

• xingyizhou/CenterNet

  Object detection, 3D detection, and pose estimation using center point detection:

  Language:Python7.3k1131k1.9k

• Yochengliu/awesome-point-cloud-analysis

  A list of papers and datasets about point cloud analysis (processing)

  4.1k2507944

• JunMa11/SegLossOdyssey

  A collection of loss functions for medical image segmentation

  Language:Python3.8k9847605

• jrfonseca/gprof2dot

  Converts profiling output to a dot graph.

  Language:Python3.2k7861387

• amusi/awesome-lane-detection

  A paper list of lane detection.

  2.9k13814778

• subeeshvasu/Awesome-Learning-with-Label-Noise

  A curated list of resources for Learning with Noisy Labels

  2.6k9913352

• jlblancoc/nanoflann

  nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees

  Language:C++2.3k84156491

• sgrvinod/Deep-Tutorials-for-PyTorch

  In-depth tutorials for implementing deep learning models on your own with PyTorch.

  1.5k913225

• PRBonn/depth_clustering

  :taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

  Language:C++1.2k2971377

• kzampog/cilantro

  A lean C++ library for working with point cloud data

  Language:C++1k4257206

• praveen-palanisamy/multiple-object-tracking-lidar

  C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud

  Language:C++8002755229

• RunLLM/aqueduct

  Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

  Language:Go52192018

• ZJULearning/RMI

  This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.

  Language:Python270102138

• mileistone/study_resources

  study resources of model and engineering

  22410047

• fxia22/kdnet.pytorch

  implementation "Escape from Cells: Deep Kd-Networks for The Recognition of 3D Point Cloud Models" in pytorch

  Language:Python1175923

• yuanjian-org/app

  A Web app that supports mentorship programs at Visionary Education Foundation (远见教育基金会).

  Language:TypeScript107836