Pinned Repositories
applied-machine-learning
Applied Machine Learning @ http://amitkaps.com/ml
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
boltzmann-machines
Boltzmann Machines in TensorFlow with examples
cats_and_dogs_small_0403_1
Small dataset for cats and dogs
Codes
Codes PDX
Colab_for_Alpaca_Lora
Here is a Google Colab Notebook for fine-tuning Alpaca Lora (within 3 hours with a 40GB A100 GPU)
Coursera-Deep-Learning
My notes / works on deep learning from Coursera
Coursera-Emojify
Sequence Models - Emojify
neurodynex3
apester's Repositories
apester/neurodynex3
apester/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
apester/awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
apester/Codes
Codes PDX
apester/Colab_for_Alpaca_Lora
Here is a Google Colab Notebook for fine-tuning Alpaca Lora (within 3 hours with a 40GB A100 GPU)
apester/Coursera-Deep-Learning
My notes / works on deep learning from Coursera
apester/coursera-natural-language-processing-specialization
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
apester/COVID19-Literature-Clustering
An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals to find relevant research articles, and respond to rapidly spreading COVID-19 promptly.
apester/DBN
Simple code tutorial for deep belief network (DBN)
apester/docs
TensorFlow documentation
apester/EDSF
Community supported EDISON Data Science Framework
apester/GNN-Tutorial
Graph Neural Network Tutorial
apester/GNNPapers
Must-read papers on graph neural networks (GNN)
apester/graph2nn
code for paper "Graph Structure of Neural Networks"
apester/HiddenMarkovModel_TensorFlow
TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)
apester/keras-io
Keras documentation, hosted live at keras.io
apester/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
apester/Learning-Shapelets
A PyTorch implementation of learning shapelets from the paper Grabocka et al., „Learning Time-Series Shapelets“.
apester/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
apester/NLP-deeplearning-specialization
Files selected from other repositories/gits
apester/nonLinear_DecisionBoundary_Kmeans_RBF
apester/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
apester/personalized-diffusion
A Tutorial on Customized Image Generation by Fine-Tuning the Stable Diffusion Models
apester/POS_taging
Parts-of-Speech Tagging (POS) This exercise will develop skills in part-of-speech (POS) tagging, the process of assigning a part-of-speech tag (Noun, Verb, Adjective...) to each word in an input text.
apester/pykan
Kolmogorov Arnold Networks
apester/Simple-KAN-4-Time-Series
A simple feature-based time series classifier using Kolmogorov–Arnold Networks
apester/stable-diffusion-model-tutorial
An easy guide to stable diffusion models.
apester/trax
Trax — Deep Learning with Clear Code and Speed
apester/vanishing-gradient-problem
I'll try to explain through the outcomes of Vanishing Gradient Problem
apester/visual-chatgpt
Official repo for the paper: Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models