Sadhaklal (sambitmukherjee)

sambitmukherjee

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Location:Hyderabad, India

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Sadhaklal's repositories

neuralcoref-streamlit

A Streamlit app to perform coreference resolution using NeuralCoref and spaCy.

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bears-fastai

App to classify bear images (fast.ai Lesson 2).

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behavior-cloners-kaggle-llm-20-questions-solution

Bronze medal (93rd out of 832 teams) solution to Kaggle's "LLM 20 Questions" competition.

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course22

The fast.ai course notebooks

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course22p2

course.fast.ai 2022 part 2

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deep-rl-class

This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.

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diffusion-nbs

Getting started with diffusion

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dlwpt-exercises

Sambit's solutions to exercises from the book "Deep Learning with PyTorch" by Eli Stevens, Luca Antiga, and Thomas Viehmann.

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handson-ml3-pytorch

PyTorch implementations of neural networks from Aurelien Geron's book 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow'.

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hf-nlp-course-exercises

Sambit's solutions to exercises from the Hugging Face "NLP Course".

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leetcode-dsa

Notes & solutions to problems from LeetCode's "Data Structures and Algorithms" course.

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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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dogs-vs-cats

Binary image classification - dogs vs. cats

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fastbook

The fastai book, published as Jupyter Notebooks

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finetuning-large-language-models

Course notes from DeepLearning.ai's short course "Finetuning Large Language Models" taught by Sharon Zhou.

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handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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handson-ml3-exercises

Sambit's solutions to exercises from Aurelien Geron's book 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow'.

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huggingface-notebooks

Notebooks using the Hugging Face libraries 🤗

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openie-streamlit

A Streamlit app to perform relation extraction using OpenIE.

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practical-python

Practical Python Programming (course by @dabeaz)

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