savourylie
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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Text and supporting code for Think Stats, 2nd Edition
A high performance implementation of HDBSCAN clustering.
Neo4j graph construction from unstructured data using LLMs
Coding the Machine Learning Tutorial for Learning to Learn
My solution to the book A Collection of Data Science Take-Home Challenges
Demo of running NNs across different frameworks
Training LLMs with QLoRA + FSDP
Code for the Lovász-Softmax loss (CVPR 2018)
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
A template for small scientific python projects
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Learning to trade under the reinforcement learning framework
Codes to complement YouTube videos and blog posts on Medium.
Vehicle detection using YOLO in Keras runs at 21FPS
Practical assignments for the network science course
This is the code for "How to Do Win Slot Machines - Intro to Deep Learning #13' by Siraj Raval on YouTube
An (old) and unstructured (messy tbh) collection of programming exercises.
The companion code for How to Autoencode your Pokemon
testing scikit-learn Isolation Forest
This is implementation of convolutional variational autoencoder in TensorFlow library and it will be used for video generation.
A PyTorch Implementation for Octave Convolution in Drop an Octave
In this project we try to forecast S&P 500 stocks with machine learning and time series methods
This repo contains the code that generates Digimon images using the concept of GAN
Using unsupervised ML methods to understand different styles within grape varieties