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Matic Robots
- Sunnyvale, CA
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00:47
(UTC -07:00) - yash-s20.github.io
- in/yash-sharma-b2bb04157
Highlights
- Pro
Stars
π±ππ Perform conditional procedural generation to generate houses like your own!
PyTorch code and models for the DINOv2 self-supervised learning method.
Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.
Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.
Official repository of Learning to Act from Actionless Videos through Dense Correspondences.
[ECCV 2022] Official Pytorch Implementation of the paper : " Zero-Shot Temporal Action Detection via Vision-Language Prompting "
Pre-training Reusable Representations for Robotic Manipulation Using Diverse Human Video Data
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
An open-source framework for training large multimodal models.
Research Trends in LLM-guided Multimodal Learning.
Community for applying LLMs to robotics and a robot simulator with ChatGPT integration
Highly Subjective Roadmap to Flutter Development
π¦π Build context-aware reasoning applications
Collection of Summer 2025 tech internships!
π Hey there new gradπ! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! π
[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
Dashboard for past years' IITs and NITs opening-closing ranks, to help aspirants make an optimal decision for choice filling rounds based on their JEE Adv./Mains rank
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
An annotated implementation of the Transformer paper.
Convert Machine Learning Code Between Frameworks
Introducing multi-channel U-Net for Music Source Separation trained using weighted multi-task loss.
A library to generate LaTeX expression from Python code.
PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529
A tutorial on Parallel and Concurrent Haskell
PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"