Ashiq Rahman (ashiqrh)

ashiqrh

User data from Github https://github.com/ashiqrh

Location:Dallas, TX

GitHub:@ashiqrh

Ashiq Rahman's repositories

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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awesome-mlops

A curated list of references for MLOps

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donkeycar

Open source hardware and software platform to build a small scale self driving car.

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benchmarking-gnns

Repository for benchmarking graph neural networks

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best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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CapsNet-Keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.

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ckan

CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers datahub.io, catalog.data.gov and data.gov.uk among many other sites.

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ConvE

Convolutional 2D Knowledge Graph Embeddings resources

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

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devol

Automated deep neural network design with genetic programming

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gae

Implementation of Graph Auto-Encoders in TensorFlow

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kaggle-past-solutions

A searchable compilation of Kaggle past solutions

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kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

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L1B3RT45

JAILBREAK PROMPTS FOR ALL MAJOR AI MODELS

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langchain

⚡ Building applications with LLMs through composability ⚡

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markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

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microsoft-generative-ai

🔗 https://microsoft.github.io/generative-ai-for-beginners/

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minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

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openpilot

open source driving agent

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ParlAI

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

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python-guide

Python best practices guidebook, written for Humans.

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relation-network

keras implementation of [A simple neural network module for relational reasoning](https://arxiv.org/pdf/1706.01427.pdf)

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relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks

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SNNs

Tutorials and implementations for "Self-normalizing networks"

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stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

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xcessiv

A web-based application for quick and scalable hyperparameter tuning and stacked ensembling in Python.

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