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Semantic Search using FAISS & ElasticSearch
Collection of papers on state-space models
Python-centered read-along of Forecasting: Principles and Practice
Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new AI research
MiniZero: An AlphaZero and MuZero Training Framework
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Convert PDF to markdown quickly with high accuracy
ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
Pretty good call graphs for dynamic languages
Structured state space sequence models
🦜🔗 Build context-aware reasoning applications 🦜🔗
Run any ML model from any programming language.
🐶 Kubernetes CLI To Manage Your Clusters In Style!
A modern JavaScript utility library delivering modularity, performance, & extras.
Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
[ICRA 2023] Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning
[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
Occlusion-Aware Crowd Navigation Using People as Sensors: ICRA2023
Summarizes document using OCR and Vertex Generative AI LLM
LLM Based OCR and Document Parsing for Node.js
An LLM-assisted multi-form API endpoint to convert image text into JSON
Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections, complete with options for text validation and hallucination filtering.
10 recommended books for learning JavaScript
Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic…
Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)