cgrx
Follow
Lists (1)
Stars
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
Transform plain text into a visually stunning Knowledge Graph with GPT-4 (latest preview)! It converts text into RDF tuples, and highlights the most frequent connections with a vibrant color-coding…
A Python Library for Graph Outlier Detection (Anomaly Detection)
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL…
Repo for https://learn.cantrill.io/p/aws-certified-developer-associate
Free Data Engineering course!
A playbook for systematically maximizing the performance of deep learning models.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
An autoML framework & toolkit for machine learning on graphs.
A collection of resources and papers on Diffusion Models
Exercises for "Computer Vision II: Multiple View Geometry", (IN2228) of the Technical University of Munich, SS2020.
Computer Vision course at Technical University of Munich
MATLAB exercises for Multiple View Geometry (IN2228) at TUM
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Hydra is a framework for elegantly configuring complex applications
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Unsupervised Feature Learning via Non-parametric Instance Discrimination
A series of models applying memory augmented neural networks to machine translation
A collection of AWESOME things about domian adaptation
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Repository for few-shot learning machine learning projects
An Implementation of Attribute Label Embedding (ALE) Method for Zero Shot Learning
Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol
Compilation of resources for aspiring data scientists
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.