siyamsajeebkhan Goto Github PK
Name: Md Siyam Sajeeb Khan
Type: User
Bio: MSc student of Data Engineering and Analytics at Technical University of Munich, Germany.
Name: Md Siyam Sajeeb Khan
Type: User
Bio: MSc student of Data Engineering and Analytics at Technical University of Munich, Germany.
Sample code that allows to train LSTM on different datasets (forked from harvitronix's repo).
Use torch in python for deep learning.
Paper list of multi-agent reinforcement learning (MARL)
OpenMMLab's Next Generation Action Understanding Toolbox and Benchmark
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
ByteDance's Recommendation System
Mutual Modality Learning code
Worldwide public holiday
[Codes of paper]: PAN: Towards Fast Action Recognition via Learning Persistence of Appearance
A course in reinforcement learning in the wild
My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
Using data from the Youtube "Trending" page to predict the 'Category' of a video given the 'Title'.
A tutorial on how to manage a Python project
Tensors and Dynamic neural networks in Python with strong GPU acceleration
I3D Nonlocal ResNets in Pytorch
A repository of common methods, datasets, and tasks for video research
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
A Real-World Benchmark for Reinforcement Learning based Recommender System
Source code for the paper: "Enriching Video Captions With Contextual Text"
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
Major Project - Sign Language To Text Conversion Using Python, Computer Vision and Machine Learning
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Convert soccer event stream data to SPADL and value player actions using VAEP or xT
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. Ranked 1st place on KITTI. (MVA 2019 Conference)
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)
Neural Network Realization of Project Sport Analytic
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.