Stars
Thinking with Videos from Open-Source Priors. We reproduce chain-of-frames visual reasoning by fine-tuning open-source video models. Give it a star 🌟 if you find it useful.
Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.
Curated coding interview preparation materials for busy software engineers
SOTAMak1r / Infinite-Forcing
Forked from guandeh17/Self-ForcingInfinite-Forcing: Towards Infinite-Long Video Generation
A framework for training world models with virtual environments, complete with annotated environment dataset (RetroAct), exploration agent (AutoExplore Agent), and GenieRedux-G - an implementation …
Official repo for paper "MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions"
Reinforcement learning with VizDoom platform
🤗 smolagents: a barebones library for agents that think in code.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…
A curated list of awesome self-supervised methods
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
IPython magic command to profile and view your python code as a heat map.
My personal notes and surveys on DL, CV and NLP papers.
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
🐸 Identify anything. pyWhat easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is! 🧙♀️
A curated list for awesome self-supervised learning for graphs.
This repository is to prepare for Machine Learning interviews.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
StellarGraph - Machine Learning on Graphs
Open Data Platform for analysts, quants and AI agents.
This contains the curriculum that I will follow to get better at Competitive Programming in 2 months.
Source for the little book about OS development
A complete daily plan for studying to become a machine learning engineer.