ncallahanml

ncallahanml's Stars

• HamSCI/hamsci_LSTID_detection

  Code for automatically detecting Large Scale Traveling Ionospheric Disturbances (LSTIDs) from ham radio spot data.

  Language:Python12

• google-deepmind/acme

  A library of reinforcement learning components and agents

  Language:Python3.5k424

• patrick-kidger/equinox

  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

  Language:Python2.1k134

• bytewax/bytewax

  Python Stream Processing

  Language:Python1.5k59

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.7k4.9k

• luchris429/purejaxrl

  Really Fast End-to-End Jax RL Implementations

  Language:Python68256

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.5k1.5k

• google-deepmind/penzai

  A JAX research toolkit for building, editing, and visualizing neural networks.

  Language:Python1.7k50

• PacktPublishing/Mastering-Reinforcement-Learning-with-Python

  Mastering Reinforcement Learning with Python, published by Packt

  Language:Jupyter Notebook144123

• dusty-nv/jetson-utils

  C++/CUDA/Python multimedia utilities for NVIDIA Jetson

  Language:C++718283

• LinhanDai/yolov9-tensorrt

  YOLOv9 Tensorrt deployment acceleration，provide two implementation methods: C++and Python🔥🔥🔥

  Language:C++315

• marcoslucianops/DeepStream-Yolo

  NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

  Language:C++1.5k356

• rbonghi/jetson_stats

  📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series

  Language:Python2.1k261

• google/or-tools

  Google's Operations Research tools:

  Language:C++11.1k2.1k

• ArminMasoumian/GCNDepth

  Self-Supervised CNN-GCN Autoencoder for Monocular Depth Estimation

  Language:Python11017

• IntelLabs/bayesian-torch

  A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

  Language:Python52172

• steineggerlab/foldseek

  Foldseek enables fast and sensitive comparisons of large structure sets.

  Language:C78199

• soedinglab/MMseqs2

  MMseqs2: ultra fast and sensitive search and clustering suite

  Language:C1.4k192

• qubvel/segmentation_models

  Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

  Language:Python4.7k1k

• google-research/scenic

  Scenic: A Jax Library for Computer Vision Research and Beyond

  Language:Python3.3k428

• google/flax

  Flax is a neural network library for JAX that is designed for flexibility.

  Language:Python6k637

• nibtehaz/MultiResUNet

  MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

  Language:Jupyter Notebook43289

• Project-MONAI/MONAI

  AI Toolkit for Healthcare Imaging

  Language:Python5.7k1.1k

• rl-tools/rl-tools

  A Fast, Portable Deep Reinforcement Learning Library for Continuous Control

  Language:C++2009

• PredictiveIntelligenceLab/jaxpi

  Language:Python20945

• nikhilroxtomar/Deep-Residual-Unet

  ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

  Language:Jupyter Notebook22155

• dheerajnbhat/Brain-Tumor-Detection

  Brain Tumor Detection from MRI images of the brain.

  Language:Python5925

• FrancescoSaverioZuppichini/glasses

  High-quality Neural Networks for Computer Vision 😎

  Language:Jupyter Notebook43137

• huggingface/pytorch_block_sparse

  Fast Block Sparse Matrices for Pytorch

  Language:C++54535

• Guillem96/jax-hidden-markov-model

  Implementation of Hidden Markov Models using JAX. ⛓

  Language:Jupyter Notebook5