Messiah (ataey)

ataey

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Location:Toronto, ON

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Messiah's starred repositories

delta-iris

Efficient World Models with Context-Aware Tokenization. ICML 2024

Language:PythonLicense:GPL-3.0Stargazers:47Issues:0Issues:0

azure-search-vector-samples

A repository of code samples for Vector search capabilities in Azure AI Search.

Language:Jupyter NotebookLicense:MITStargazers:689Issues:0Issues:0

GPT-Azure-Search-Engine

Azure Cognitive Search + Azure OpenAI Accelerator

Language:Jupyter NotebookLicense:MITStargazers:361Issues:0Issues:0

promptflow

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

Language:PythonLicense:MITStargazers:8678Issues:0Issues:0

azure-samples-python-management

This repo contains sample code for management libraries of Azure SDK for Python

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fastfetch

Like neofetch, but much faster because written mostly in C.

Language:CLicense:MITStargazers:8012Issues:0Issues:0

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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1990-script

Make your GitHub history back to 1990

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MonoGS

[CVPR'24 Highlight] Gaussian Splatting SLAM

Language:PythonLicense:NOASSERTIONStargazers:1077Issues:0Issues:0

BitNet

Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

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NaLLM

Repository for the NaLLM project

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KG_RAG

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:508Issues:0Issues:0

transformer

Transformer: PyTorch Implementation of "Attention Is All You Need"

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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Data-Science-Interview-Questions-Answers

Curated list of data science interview questions and answers

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flipped_classroom

Replication package for: Flipped Classroom: Effective Teaching for Time Series Forecasting

Language:PythonStargazers:6Issues:0Issues:0

RNN-Lyapunov-Spectrum

A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.

Language:PythonStargazers:38Issues:0Issues:0

LearningEffectiveDynamics

Framework to learn effective dynamics and couple a macro scale simulator with a fast neural network latent propagator.

Language:PythonStargazers:6Issues:0Issues:0

pytorch-mdn

Mixture Density Networks for PyTorch

Language:PythonLicense:MITStargazers:207Issues:0Issues:0

mixture-density-network

Mixture density network implemented in PyTorch.

Language:PythonLicense:MITStargazers:121Issues:0Issues:0

neor_mini

ROS-based Ackerman-like unmanned car.

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MIXER

Mixed Incremental Cross-Entropy REINFORCE ICLR 2016

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dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

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MotionPlanning

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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ROSMASTER-R2

ROSMASTER R2 ROS Robot with Ackermann structure for Jetson NANO 4GB/Orin NX/Orin NANO/RaspberryPi 5

Stargazers:27Issues:0Issues:0

bench-mr

Motion Planning Benchmark

Language:Jupyter NotebookLicense:MITStargazers:76Issues:0Issues:0

Voronoi-Based-Hybrid-Astar

Voronoi Based Hybrid A* for Tractor-Trailer Systems

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