Pinned Repositories
100daysofComputerVision
This is a collection of projects done for 100 days of computer vision
3D-Generative-SBDD
💊 A 3D Generative Model for Structure-Based Drug Design (NeurIPS 2021)
3D-Machine-Learning
A learning resource repository for 3D machine learning
3DGCN
Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
A-self-driving-car-using-behavioral-cloning
aws-iot-sensors
This repository provides sample code to help customers easily connect to AWS IoT Core and learn more about how the AWS IoT Sensors mobile app publishes sensor data from mobile phones to AWS.
DocLayNet
DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis
roysh's Repositories
roysh/alphafold3
AlphaFold 3 inference pipeline.
roysh/annotateai
📝 Automatically annotate papers using LLMs
roysh/atomgpt
AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design https://www.youtube.com/watch?v=7v2WYvwGhy8
roysh/audiocraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
roysh/BasicTS
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
roysh/boltz
Official repository for the Boltz-1 biomolecular interaction model
roysh/conformal-multi-python
Conformal Prediction Package written in python
roysh/darts
A python library for user-friendly forecasting and anomaly detection on time series.
roysh/Deej-AI
Create automatic playlists by using Deep Learning to *listen* to the music.
roysh/Do-data-driven-models-beat-numerical-models-in-forecasting-weather-extremes-
Comapnion code to the manuscript "Do data-driven models beat numerical models in forecasting weather extremes? A comparison of IFS HRES, Pangu-Weather and GraphCast"
roysh/docling
Get your documents ready for gen AI
roysh/FAN
roysh/funcmol
Score-based 3D molecule generation with neural fields
roysh/GenAI_Agents
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.
roysh/Genesis
A generative world for general-purpose robotics & embodied AI learning.
roysh/hands-on-personalized-recommender
roysh/LayerSkip
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
roysh/LLM-from-scratch
roysh/lobster
Lbster: Language models for Biological Sequence Transformation and Evolutionary Representation
roysh/MegaParse
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
roysh/MLSystemDesign
roysh/pyCrossfade
pyCrossfade is the result of a personal project to use beat matching, gradual bpm shift on bars, and EQ modification to provide smooth and tunable transitions between music files.
roysh/pymupdf-RAG
RAG (Retrieval-Augmented Generation) Chatbot Examples Using PyMuPDF
roysh/PyRIT
The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.
roysh/RAG-Driven-Generative-AI
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.
roysh/recipes
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
roysh/TrajectoryFlowMatching
Code repository for Trajectory Flow Matching
roysh/Transformers-for-NLP-and-Computer-Vision-3rd-Edition
Transformers 3rd Edition
roysh/twosetai
All the code and materials related to our YouTube channel (TwoSetAI)
roysh/weatherbench2
A benchmark for the next generation of data-driven global weather models.