Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
- natural-language-processing
- nlp
- pytorch-nlp
- pytorch
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Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
Simple UI for LLM Model Finetuning
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
Let us democratise high-resolution generation! (CVPR 2024)
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜
Implementation of all RL algorithms in a simpler way
Code, Notebooks and Examples from Practical Business Python
Udemy üzerindeki Python kurslarında kullanılan materyaller
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
OneDiff: An out-of-the-box acceleration library for diffusion models.
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Exercise notebooks for Machine Learning modules on Microsoft Learn
Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?
AI magics meet Infinite draw board.
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BERT score for text generation
Notebooks about Bayesian methods for machine learning
Gallery of OSMnx tutorials, usage examples, and feature demonstrations.
Single-document unsupervised keyword extraction
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
Pytorch0.4.1 codes for InsightFace
Noise reduction in python using spectral gating (speech, bioacoustics, audio, time-domain signals)