GitSanje's starred repositories

container.training

Slides and code samples for training, tutorials, and workshops about Docker, containers, and Kubernetes.

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cs50-ai

Harvard CS50’s: Introduction to Artificial Intelligence with Python

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build-your-own-x

Master programming by recreating your favorite technologies from scratch.

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coding-interview-university

A complete computer science study plan to become a software engineer.

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LLM101n

LLM101n: Let's build a Storyteller

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react-basic

A description of the conceptual model of React without implementation burden.

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react-fiber-architecture

A description of React's new core algorithm, React Fiber

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react-solid

React S.O.L.I.D Principles for writing clean-code

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cuda-convnet

Alex Krizhevsky's original code from Google Code

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tech-companies-in-nepal

List of tech companies based or working in Nepal. 🇳🇵

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pytorch-original-transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

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ml-companies-in-nepal

Curated list of Machine Learning Companies in Nepal

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ai_ml_companies_in_nepal

Helping AI/ ML/ DataScience practitioners and enthusiasts to get their dream job. Some are completely Nepal-based whereas some operate outside of the Nepal. Some are specially known for AI / ML whereas some has started to adopt AI / ML

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awesome-deep-learning-papers

The most cited deep learning papers

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char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

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LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

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fromp

Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"

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udlbook

Understanding Deep Learning - Simon J.D. Prince

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Machine-Learning-Specialization-Coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

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Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

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FC_deep_bayesian_networks

Train fully connected networks of arbitrary depth in the bayesian setting. Code relevant to "A Statistical Mechanics framework for deep neural networks beyond the infinite-width limit"

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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

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ml-class

Machine learning lessons and teaching projects designed for engineers

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django-friendship

Add friends, send friend requests, accept, decline, delete

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Custom-OCR-YOLO

YOLO for custom object detection and passing the detected objects to Tesseract

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teenygrad

If tinygrad wasn't small enough for you...

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gdl_tutorial_turinginst

Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute

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