xinyu-dev

xinyu-dev's Stars

• NVIDIA/bionemo-examples

  BioNeMo NIMs example notebooks: for optimized inference at scale

  10919

• jwohlwend/boltz

  Official repository for the Boltz-1 biomolecular interaction model

  Language:Python1.5k187

• A-Alpha-Bio/alphabind

  AlphaBind code + model accompanying pre-print

  Language:Jupyter Notebook425

• NVIDIA/NeMo

  A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  Language:Python12.9k2.6k

• ynashed/bionemo-framework

  BioNeMo Framework: For building and adapting AI models in drug discovery at scale

  Language:Python1

• snlpatel001213/blackrock_poc

  12

• pytorch-labs/LeanRL

  LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.

  Language:Python48618

• NVIDIA/NVFlare

  NVIDIA Federated Learning Application Runtime Environment

  Language:Python672181

• NVIDIA/GenerativeAIExamples

  Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

  Language:Python2.7k606

• dilawar/PlotDigitizer

  A Python utility to digitize plots.

  Language:Python12624

• Apress/Deep-Reinforcement-Learning-with-Python

  Original source code for Deep Reinforcement Learning with Python 2nd ed.

  Language:Jupyter Notebook94

• NVIDIA/nv-ingest

  NVIDIA Ingest is an early access set of microservices for parsing hundreds of thousands of complex, messy unstructured PDFs and other enterprise documents into metadata and text to embed into retrieval systems.

  Language:Python2k170

• NVIDIA-BioNeMo-blueprints/generative-virtual-screening

  NVIDIA BioNeMo blueprint for generative AI-based virtual screening

  Language:Jupyter Notebook4016

• NVIDIA-AI-Blueprints/multimodal-pdf-data-extraction

  NVIDIA AI Blueprint for multimodal PDF data extraction for enterprise RAG

  26931

• liveaverage/nim-shim

  An extensible shim layer supporting NVIDIA NIM images on CSP platforms (i.e. Sagemaker)

  Language:Python2

• aws-samples/amazon-sagemaker-local-mode

  Amazon SageMaker Local Mode Examples

  Language:Python25161

• rlabduke/reduce

  Reduce - tool for adding and correcting hydrogens in PDB files

  Language:C++13036

• plinder-org/plinder

  Protein Ligand INteraction Dataset and Evaluation Resource

  Language:Python19412

• NVIDIA/bionemo-framework

  BioNeMo Framework: For building and adapting AI models in drug discovery at scale

  Language:Jupyter Notebook26231

• rapidsai/raft

  RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

  Language:Cuda816197

• dptech-corp/Uni-Dock

  Uni-Dock: a GPU-accelerated molecular docking program

  Language:C++19741

• evolutionaryscale/esm

  Language:Python1.6k179

• GitbookIO/public-docs

  GitBook’s Documentation

  1324

• rapidsai/jupyterlab-nvdashboard

  A JupyterLab extension for displaying dashboards of GPU usage.

  Language:TypeScript61677

• NVIDIA/TensorRT

  NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

  Language:C++11.1k2.2k

• aws-samples/amazon-sagemaker-notebook-instance-lifecycle-config-samples

  A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations

  Language:Shell422250

• aws-samples/aws-healthcare-lifescience-ai-ml-sample-notebooks

  Language:Jupyter Notebook9743

• RosettaCommons/PyRosetta.notebooks

  Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design

  Language:Jupyter Notebook516155

• nrbennet/dl_binder_design

  Language:Python27365

• baker-laboratory/rf_diffusion_all_atom

  Public RFDiffusionAA repo

  Language:Python34557