Resources needed to start deep learning research. ML/DL/CV/NLP/ML-SYS/RL/Graphs/Maths/Med image lecture videos from professors at esteemed universities.

Course materials for Advanced Topics in Statistical Learning, Spring 2024

FPE - Format Preserving Encryption with FF3 in Python

High-Dimensional Regression Modeling [book]

spatial multiomics integrative toolbox

This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov

All Algorithms implemented in Python

Ongoing research training transformer models at scale

Animation engine for explanatory math videos

MetaTrader5 ETL with Python. Extract features for maching learning.

Training experiments for Sagittarius model

This code is advanced forex hedging recommendation system that utilises Python and Pytorch to combine deep learning techniques with traditional financial expertise to provide personalized hedging s…

This repository contains a comprehensive set of exam questions for the course "Statistical Methods for Machine Learning"

ODE2VAE: Deep generative second order ODEs with Bayesian neural networks

Extract TNM cancer staging from pathology notes.

A Python package for modular causal inference analysis and model evaluations

Pytorch implementation of scDeepCluster for Single Cell RNA-seq data

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

All My Works

Master the techniques of function-calling and structured data extraction with LLMs. Learn to enhance LLM capabilities, integrate web services, and build practical applications for real-world data u…

MetaTrader5 for linux users

Experimented with the three essential Reinforcement Learning with Human Feedback (RLHF) process stages. It starts by revisiting the Supervised Fine-Tuning (SFT) process, then proceeds with the trai…