saradindusengupta's Stars
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
pandas-dev/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
k88hudson/git-flight-rules
Flight rules for git
OpenBB-finance/OpenBBTerminal
Investment Research for Everyone, Everywhere.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
tinygrad/tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
mlc-ai/mlc-llm
Universal LLM Deployment Engine with ML Compilation
InterviewReady/system-design-resources
These are the best resources for System Design on the Internet
karpathy/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
sktime/sktime
A unified framework for machine learning with time series
confluentinc/librdkafka
The Apache Kafka C/C++ library
dair-ai/Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
deepchecks/deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
tensorchord/Awesome-LLMOps
An awesome & curated list of best LLMOps tools for developers
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
rmcelreath/rethinking
Statistical Rethinking course and book package
brandon-rhodes/python-patterns
Source code behind the python-patterns.guide site by Brandon Rhodes
Apress/hands-on-time-series-analylsis-python
Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel
mlcommons/tiny
MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
youssefHosni/Practical-Time-Series-In-Python
Practical guidance for time series analysis in Python
navjindervirdee/2048-deep-reinforcement-learning
Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning
mlcommons/mlcube
MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.
neelindresh/pymlpipe
rstats-gsoc/gsoc2022
harvard-edge/dataperf-speech-example
Example workflow for our data-centric speech benchmark
CoactiveAI/dataperf-vision-selection
Alpha version of our data-centric visual benchmark for training data selection
DS3Lab/dataperf-vision-debugging
Alpha version of our data-centric vision benchmark for training data correction
RajatGarg97/CrackTheJam
The aim of this project is to gather all competitive programmers and learners under one roof and contribute solutions of a really famous competitive programming competiton Google Code Jam, which as the name suggests is organised by Google Inc.