MarcoGrippa's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
openai/openai-cookbook
Examples and guides for using the OpenAI API
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Stability-AI/StableLM
StableLM: Stability AI Language Models
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
cocktailpeanut/dalai
The simplest way to run LLaMA on your local machine
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
Mooler0410/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
brexhq/prompt-engineering
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
replicate/cog
Containers for machine learning
MineDojo/Voyager
An Open-Ended Embodied Agent with Large Language Models
roboflow/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
Nyandwi/machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
andri27-ts/Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
ploomber/ploomber
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
rpicard/explore-flask
Source of Explore Flask book
dair-ai/Transformers-Recipe
🧠 A study guide to learn about Transformers
tysam-code/hlb-CIFAR10
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
glouppe/info8010-deep-learning
Lectures for INFO8010 Deep Learning, ULiège
comet-ml/kangas
🦘 Explore multimedia datasets at scale
rasbt/machine-learning-notes
Collection of useful machine learning codes and snippets (originally intended for my personal use)
teunbrand/ggplot_tricks
Here, I collect some tricks I've learned about the {ggplot2} R package
mlcontests/mlcontests.github.io
A list of public machine learning/data science/AI contests.
minimaxir/chatgpt_api_test
Demos utilizing the ChatGPT API
codefirstio/invoice-generator-tkinter-and-doxtpl
Invoice Generator Python project. Source code for tutorial: https://youtu.be/mJc5gAnnlVQ
indently/text_to_speech
A simple script to convert text to speech in Python.