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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
real time face swap and one-click video deepfake with only a single image
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A community-maintained Python framework for creating mathematical animations.
Open source code for AlphaFold 2.
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
Graphormer is a general-purpose deep learning backbone for molecular modeling.
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
This repository used to be the user-facing mirror of the Sage source tree. As Sage development migrated on 2023-02-01 from https://trac.sagemath.org/ to our new repository on GitHub, https://github…
Finding the genre of a song with Deep Learning
SchNetPack - Deep Neural Networks for Atomistic Systems
Examples for https://github.com/optuna/optuna
Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
T-GATE: Temporally Gating Attention to Accelerate Diffusion Model for Free!
Official code repository of "BERTology Meets Biology: Interpreting Attention in Protein Language Models."
An extension of LightGBM to probabilistic modelling
A large (+2500) collection of color maps for Python
Python implementation of the multistate Bennett acceptance ratio (MBAR)
gmx_MMPBSA is a new tool based on AMBER's MMPBSA.py aiming to perform end-state free energy calculations with GROMACS files.
A package to predict protein inter-residue geometries from sequence data