Nicolepcx / transformers-the-definitive-guide
This is the official repository for the book Transformers - The Definitive Guide
☆36Updated 8 months ago
Alternatives and similar repositories for transformers-the-definitive-guide:
Users that are interested in transformers-the-definitive-guide are comparing it to the libraries listed below
- Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"☆38Updated last month
- Study the temporal performance degradation of machine learning models.☆16Updated last year
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆42Updated this week
- Fine-tune an LLM to perform batch inference and online serving.☆109Updated last week
- My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeratio…☆39Updated 3 months ago
- Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Nu…☆47Updated 2 months ago
- Building GPT ...☆17Updated 4 months ago
- RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems☆100Updated 3 months ago
- Various installation guides for Large Language Models☆69Updated this week
- ☆10Updated 10 months ago
- Contains Lecture Notes and Suggested Readings for XCS224N☆44Updated last year
- ☆47Updated last week
- Student version of Assignment 1 for Stanford CS336 - Language Modeling From Scratch☆51Updated last week
- ☆67Updated 8 months ago
- Effective and Scalable Recommendation Systems☆53Updated last year
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated 9 months ago
- List of resources, libraries and more for developers who would like to build with open-source machine learning off-the-shelf☆199Updated last year
- NYU Artificial Intelligence Spring 2024☆55Updated 5 months ago
- Large Language Model Engineering (LLM Engineering) refers to the emerging best-practices and tools for pretraining, post-training, and op…☆29Updated last month
- ☆44Updated 9 months ago
- ☆43Updated 5 months ago
- Building a chatbot powered with a RAG pipeline to read,summarize and quote the most relevant papers related to the user query.☆166Updated last year
- a small demo repo to show how I got neuralbeagle14-7b running locally on my 8GB GPU☆14Updated last year
- Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for G…☆84Updated last year
- A set of scripts and notebooks on LLM finetunning and dataset creation☆106Updated 6 months ago
- Hugging Face Deep Learning Containers (DLCs) for Google Cloud☆141Updated 2 months ago
- ☆77Updated 10 months ago
- ☆16Updated 5 months ago
- Includes examples on how to evaluate LLMs☆23Updated 5 months ago
- ☆40Updated 11 months ago