dennis-park-tri Goto Github PK
Name: Dennis Park
Type: User
Bio: ML researcher working on computer vision and machine learning.
Name: Dennis Park
Type: User
Bio: ML researcher working on computer vision and machine learning.
[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Object detection, 3D detection, and pose estimation using center point detection:
A pytorch implementation of "D4LCN: Learning Depth-Guided Convolutions for Monocular 3D Object Detection" CVPR 2020
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
TRI-ML Dataset Governance Policy
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Code for the CVPR Paper "Deep Layer Aggregation"
A toolkit for developing and comparing reinforcement learning algorithms.
Download DeepMind's Kinetics dataset.
Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"
COCO 2018 Panoptic Segmentation Task API (Beta version)
PixelNeRF Official Repository
HITNet implementation using PyTorch
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
A deep learning library for video understanding research.
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
An educational resource to help anyone learn deep reinforcement learning.
Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803
Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.