Pinned Repositories
catalyst
Reproducible and fast DL/RL.
CLRS-1
📚 Solutions to Introduction to Algorithms Third Edition
Golang-Crawler
In progress, a distributed crawler written with Golang
Multiagent-Competitive-Learning
training phase code for two agents in the competitive environment with PPO
OctaveConv_pytorch
Pytorch implementation of Octave convolution
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Kelvinson's Repositories
Kelvinson/OctaveConv_pytorch
Pytorch implementation of Octave convolution
Kelvinson/ASIS
Associatively Segmenting Instances and Semantics in Point Clouds
Kelvinson/Attention-Augmented-Conv2d
Implementing Attention Augmented Convolutional Networks using Pytorch
Kelvinson/AutoDeeplab
Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
Kelvinson/awesome-AutoML-and-Lightweight-Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression & Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Kelvinson/awesome-modern-cpp
A collection of resources on modern C++
Kelvinson/bilibili-get
Bilibili video downloader.
Kelvinson/bilibili_fork
bilibili后台源码
Kelvinson/bookshelf
:books: books
Kelvinson/boundary-gp
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
Kelvinson/CenterNet
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
Kelvinson/CLRS
:notebook:Solutions to Introduction to Algorithms
Kelvinson/CuriosityDrivenExplorationBySelfSupervisedPrediction
Reproduction of Curiosity-driven Exploration by Self-supervised Prediction in PyTorch
Kelvinson/cutlass
CUDA Templates for Linear Algebra Subroutines
Kelvinson/fuse
The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.
Kelvinson/gans-from-theory-to-production
Material for the tutorial: "Deep Diving into GANs: from theory to production"
Kelvinson/glow-pytorch
pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"
Kelvinson/hypocotyl-UNet
Kelvinson/inflated_convnets_pytorch
Inflate DenseNet and ResNet as per I3D with ImageNet weight transfer
Kelvinson/MetaOptNet
Meta-learning with Differentiable Convex Optimization (CVPR 2019 Oral)
Kelvinson/NSCL-PyTorch-Release
PyTorch code for the Neuro-Symbolic Concept Learner (NS-CL).
Kelvinson/OctConv
Code for paper
Kelvinson/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Kelvinson/PlaNet
Deep Planning Network: Control from pixels by latent planning with learned dynamics
Kelvinson/PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
Kelvinson/rearrangement-planning
Monte-Carlo Tree Search for Visually Guided Rearrangement Planning
Kelvinson/sparse_attention
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
Kelvinson/Spherical_Regression
PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".
Kelvinson/Universal-segmentation-baseline-Kaggle-Airbus-Ship-Detection
This repo contains full solution for the challenge: from datasets creation to training and creating submit file. Moreover it can be used as a universal high-quality baseline solution for any segmentation task.
Kelvinson/unplugged
Open book about math and computer science.