Stars
Run GLM-5.2 (744B MoE) on a 25GB-RAM consumer machine — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦
🕵️♂️ All-in-one OSINT tool for analysing any website
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Make Any Objects Invisible or Change Background using Deep Learning and Image Processing
Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018
pix2code: Generating Code from a Graphical User Interface Screenshot
Resumes generated using the GitHub informations
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Python Data Science Handbook: full text in Jupyter Notebooks
A topic-centric list of HQ open datasets.
Tutorials and implementations for "Self-normalizing networks"
The "Python Machine Learning (1st edition)" book code repository and info resource
A curated list of deep learning resources for computer vision
Implementations of CNNs, RNNs, GANs, etc
Documentation on how to access and use the Quick, Draw! Dataset.
A general-purpose encoder-decoder framework for Tensorflow
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Generating faces with deconvolution networks