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LSTM, RNN and GRU implementations using Pytorch
The repository to showcase the best framework for tabular data - the Awesome CatBoost
Quantitative analysis, strategies and backtests
๐ง A study guide to learn about Transformers
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Traโฆ
Learn ML engineering for free in 4 months!
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.
Machine Learning Resources, Practice and Research
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
LLM Finetuning with peft
Resources for education in statistics and machine learning: from advanced undergraduate to research level
A resource to help you become good at work ๐
Learn System Design concepts and prepare for interviews using free resources.
Machine Learning Engineering Open Book
Friendly link to all of my medium articles
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Course notes for CS224N Winter17
Collection of google colaboratory notebooks for fast and easy experiments
A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources
Introduction to Machine Learning Systems
A curated list of gradient boosting research papers with implementations.
Compendium of free ML reading resources