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21 Lessons, Get Started Building with Generative AI
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A simple screen parsing tool towards pure vision based GUI agent
A guidance language for controlling large language models.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Instruct-tune LLaMA on consumer hardware
StableLM: Stability AI Language Models
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
A series of large language models trained from scratch by developers @01-ai
Visualizations for machine learning datasets
An annotated implementation of the Transformer paper.
A course on aligning smol models.
A Bulletproof Way to Generate Structured JSON from Language Models
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Automatic Generation of Visualizations and Infographics using Large Language Models
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Chat凉宫春日, An open sourced Role-Playing chatbot Cheng Li, Ziang Leng, and others.
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode…
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Image Captcha Solving Using TensorFlow and CNN Model. Accuracy 90%+