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Compress or convert your video files to h.265 (hevc) format with one-click, make its size much smaller!
Robust Speech Recognition via Large-Scale Weak Supervision
Universal Tensor Operations in Einstein-Inspired Notation for Python.
Now we have become very big, Different from the original idea. Collect premium software in various categories.
Comprehensive benchmarking of protein-ligand structure generation methods (ICML 2024 AI4Science)
《解构大语言模型：从线性回归到通用人工智能》配套代码
This repository contains a paper collection of the methods for document image processing, including appearance enhancement, deshadow, dewarping, deblur, and binarization.
[CVPR 2024] DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.
HERRO is a highly-accurate, haplotype-aware, deep-learning tool for error correction of Nanopore R10.4.1 or R9.4.1 reads (read length of >= 10 kbps is recommended).
Denoising Diffusion Probabilistic Models
Materials for the Hugging Face Diffusion Models Course
Implementation of Alphafold 3 in Pytorch
The official GitHub page for the survey paper "A Survey of Large Language Models".
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
A curated list of papers dedicated to edit-distance as objective function
Deep Learning based variant calling toolkit - https://clara-parabricks.github.io/VariantWorks/
DeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants from tumor-normal and tumor-only sequencing data.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Stratification BED files from the Global Alliance for Genomics and Health (GA4GH) Benchmarking Team and the Genome in a Bottle Consortium. These files can be used as standard resource of BED files …
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.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
My own attempt at a long context genomics model, leveraging recent advances in long context attention modeling (Flash Attention + other hierarchical methods)
Visualizer for neural network, deep learning and machine learning models
🧬 Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版