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Name: Tejas Kulkarni
Type: User
Company: Common Sense Machines (https://www.csm.ai/)
Bio: Neural networks, inverse graphics, reinforcement learning, 3D
Location: Cambridge, USA
Name: Tejas Kulkarni
Type: User
Company: Common Sense Machines (https://www.csm.ai/)
Bio: Neural networks, inverse graphics, reinforcement learning, 3D
Location: Cambridge, USA
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Breaking captcha's with probabilistic programming
A torch implementation of http://arxiv.org/abs/1511.06434
Unfinished. Deep Q Learning in Tensorflow for ATARI.
Example models using DeepSpeed
Dense Prediction Transformers
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Franka panda mujoco models
High-Level Motion Library for the Franka Panda Robot
Final project for MIT's 6.869
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation
(Deprecated) See https://github.com/mrkulk/Unsupervised-Capsule-Network
Interface between Julia and Torch (Lua) using ZMQ
A PyTorch Library for Accelerating 3D Deep Learning Research
Simple C++ geometry processing library.
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"
A probabilistic programming language for visual scene perception
Work in progress. Read at your own risk.
Convert Blender Geometry Nodes to a Python add-on
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
blender based random procedural object generation for bullet grasping
Seamless integration of Blender into pytorch data sources
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Surreal Robotics Suite: standardized and accessible robot manipulation benchmark with physics simulation
Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
Dirichlet Process Mixture using PVI, SMC, Variational
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.