shamikbose

MIT6.006

This contains solutions to problems discussed in the lectures for the "Intro to Algorithms" course. Video playlist for the course is available here: https://www.youtube.com/playlist?list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb

stellar-finetuning

This repository contains tutorials about finetuning pretrained Pytorch models

jokefetcher

Fetches jokes according to flags and categories

bigLAM

Dataset loaders for the BigLAM hackathon

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

leetcode_top

A repo showcasing solutions to the top interview Questions on Leetcode

mlfromscratch

A repository of Machine Learning algorithms from scratch

ObjectDetectionDETR

pytorch

A collection of Python notebooks with an intro to pytorch

Algorithms

A collection of algorithms and data structures

pii-lib

Code for PII detection and redaction in code datasets

Algorithms-1

Algorithm and Data Structures

bigCodePII

biomedical

Tools for curating biomedical training data for large-scale language modeling

Data-Science-Cheatsheet

A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.

every-programmer-should-know

A collection of (mostly) technical things every software developer should know

Failed-ML

Compilation of high-profile real-world examples of failed machine learning projects

healthdata_EDA

Using CD data to build visualizations of healthcare situations in USA

ML_prep

Machine Learning interview prep guide

mlx-examples

Examples in the MLX framework

MNIST_Tensorflow

nmt4binaries.github.io

python_examples

shamikbose

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

trankit

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

wandb_course

A repository for the materials from the Weights and Biases "Effective MLOps" course