samueljackson92

samueljackson92's Stars

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.3k2.7k7.3k45.7k

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  61.5k2.3k11710k

• nothings/stb

  stb single-file public domain libraries for C/C++

  Language:C27.4k6278437.7k

• AnthonyCalandra/modern-cpp-features

  A cheatsheet of modern C++ language and library features.

  19.9k791612.1k

• horovod/horovod

  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

  Language:Python14.3k3342.2k2.2k

• jupyterlab/jupyterlab

  JupyterLab computational environment.

  Language:TypeScript14.3k3058.6k3.4k

• keras-team/autokeras

  AutoML library for deep learning

  Language:Python9.2k3019051.4k

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.7k1463381.4k

• bitemyapp/learnhaskell

  Learn Haskell

  Language:Makefile8k26241551

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.8k43881.1k

• pliang279/awesome-multimodal-ml

  Reading list for research topics in multimodal machine learning

  6.2k17916858

• chrieke/awesome-satellite-imagery-datasets

  🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

  3.7k17517645

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.9k3341406

• Farama-Foundation/ViZDoom

  Reinforcement Learning environments based on the 1993 game Doom :godmode:

  Language:C++1.8k50465410

• anderskm/gputil

  A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python

  Language:Python1.2k1135121

• toshas/torch-fidelity

  High-fidelity performance metrics for generative models in PyTorch

  Language:Python1k73770

• avehtari/BDA_py_demos

  Bayesian Data Analysis demos for Python

  Language:Jupyter Notebook1k561300

• SimonKohl/probabilistic_unet

  A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

  Language:Jupyter Notebook5482014100

• astrofrog/mpl-scatter-density

  :zap: Fast scatter density plots for Matplotlib :zap:

  Language:Python502143026

• ibm-granite/granite-tsfm

  Foundation Models for Time Series

  Language:Jupyter Notebook4531380190

• spglib/spglib

  C library for finding and handling crystal symmetries

  Language:C28918244111

• mantidproject/mantid

  Main repository for Mantid code

  Language:C++2124124.1k126

• akrzemi1/explicit

  A set of small tools that allow you to state your intentions mre explicitly in the code

  Language:C++2002319

• himura/twitter-conduit

  Twitter API package for Haskell, including enumerator interfaces and Streaming API supports.

  Language:Haskell15893148

• egonSchiele/chips

  A clone of Chips Challenge in Haskell

  Language:Haskell1427214

• nyphilarchive/PerformanceHistory

  New York Philharmonic Performance History Metadata

  Language:Python13026926

• earthlab/earth-analytics-python-env

  A conda environment and docker container to support using earth and environmental data in Python.

  Language:Shell8311381.5k

• NERSC/sc23-dl-tutorial

  SC23 Deep Learning at Scale Tutorial Material

  Language:Python382109

• GA-FDP/toksearch

  TokSearch framework for parallel processing of fusion data

  Language:Python5230

• ukaea/ukaea-metadata

  Language:Python44121