Lists (5)
Stars
A latent text-to-image diffusion model
Instruct-tune LLaMA on consumer hardware
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
PyTorch code and models for the DINOv2 self-supervised learning method.
Understanding Deep Learning - Simon J.D. Prince
A scikit-learn compatible neural network library that wraps PyTorch
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
🎁 5,400,000+ Unsplash images made available for research and machine learning
Making Protein folding accessible to all!
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
Biological foundation modeling from molecular to genome scale
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-…
Numba tutorial for GTC 2017 conference
Giving LLMs like GPT-4 the ability to plan and execute terminal commands
GEOM: Energy-annotated molecular conformations
Bilingual Language Model for Protein Sequence and Structure
Fitness landscape exploration sandbox for biological sequence design.
oxpig / ImmuneBuilder
Forked from brennanaba/ImmuneBuilderPredict the structure of immune receptor proteins
Unconstrained lattice antibody-antigen bindings generator
Protein language model customized for antibodies
Public repository describing training and testing of AntiBERTa.
Predict the structure of immune receptor proteins
PyTorch Lightning implementation of the paper Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding. This repository allows to reproduce the main …