Rahul Patel (rahulptel)

rahulptel

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

Location:Toronto, Canada

Home Page:rahulptel.github.io

GitHub:@rahulptel

Twitter:@Rpatel_15

Rahul Patel's starred repositories

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:47973Issues:471Issues:76

LLMs-from-scratch

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

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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LLM101n

LLM101n: Let's build a Storyteller

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

surya

OCR, layout analysis, reading order, table recognition in 90+ languages

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llama3-from-scratch

llama3 implementation one matrix multiplication at a time

Language:Jupyter NotebookLicense:MITStargazers:14258Issues:100Issues:19

awesome-leetcode-resources

Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.

Language:JavaLicense:GPL-3.0Stargazers:8718Issues:100Issues:8

pytorch-openai-transformer-lm

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

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keras-core

A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

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Exphormer

Exphormer: Sparse Transformer for Graphs

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Tinytorch

A really tiny autograd engine

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MultiObjectiveAlgorithms.jl

A Julia package for solving multi-objective optimization problems

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PySDD

Python package for Sentential Decision Diagrams (SDD)

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IntegerLShaped

A python implementation of the integer L-shaped method for solving two stage stochastic programs.

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Hypervolume

Collection of open source hypervolume codes that have been standardized to work with the MOEA Framework.

End2EndSAT

Predicting Satisfiability via End-to-End Learning

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dynamic-MIS

Official Implementation of the NeurIPS'23 paper 'Maximum Independent Set: Self-Training through Dynamic Programming'.

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DeepRL-BiobjectiveKP

This repository maintains the codes and test instances used in he paper entitled "Solving Hard Bi-objective Knapsack Problems Using Deep Reinforcement Learning" Br. Dr. Hadi Charkhgard and His co-authors

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leo

LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams

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BIOBAB

This is the code used in "Branch-and-Bound for Bi-objective Integer Programming" by Sophie N. Parragh and Fabien Tricoire (2019) which can be found at https://doi.org/10.1287/ijoc.2018.0856

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RestrictedValueFunction

A Python implementation of the RVF Algorithm in the article "On the Relationship Between the Value Function and the Efficient Frontier of a Mixed Integer Linear Optimization Problem" for constructing the value function or efficient frontier of an IP and MILP.

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