Pinned Repositories
advanced-markdown
Learn about advanced markdown techniques
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
BDS
Code and examples from Business Data Science
black
The uncompromising Python code formatter
blog_notebooks
Keep Inquisitive - Notebooks
causalML
A course on causal machine learning.
deep_learning_for_images
Deep Learning Applied to Images Class - Aula de Deep Learning Aplicado a Imagens
fiddler-auditor
Fiddler Auditor is a tool to evaluate the robustness of language models.
flask
The Python micro framework for building web applications.
fsdl2021_project
tspthomas's Repositories
tspthomas/fsdl2021_project
tspthomas/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
tspthomas/deep_learning_for_images
Deep Learning Applied to Images Class - Aula de Deep Learning Aplicado a Imagens
tspthomas/advanced-markdown
Learn about advanced markdown techniques
tspthomas/BDS
Code and examples from Business Data Science
tspthomas/black
The uncompromising Python code formatter
tspthomas/blog_notebooks
Keep Inquisitive - Notebooks
tspthomas/causalML
A course on causal machine learning.
tspthomas/fiddler-auditor
Fiddler Auditor is a tool to evaluate the robustness of language models.
tspthomas/flask
The Python micro framework for building web applications.
tspthomas/flytectl
A cross platform CLI for Flyte. Written in Golang. Offers an intuitive interface to Flyte https://docs.flyte.org/projects/flytectl/en/latest/
tspthomas/fsdl-text-recognizer-2021-labs
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
tspthomas/ggmm
Python module to train GMMs using CUDA
tspthomas/lil-log
Lilian's Blog
tspthomas/ml-git
ml-git is a tool which provides a Distributed Version Control system to enable efficient dataset management. Like its name emphasizes, it is meant to be like git in mindset, concept and workflows. ml-git enables the following operations. Manage a repository of different datasets, labels and models. Versioning immutable versions of models, labels and documents. Distribute these ML artifacts between members of a team or across organizations. Apply the right data governance and security models to their artifacts.
tspthomas/PlotNeuralNet
Latex code for making neural networks diagrams
tspthomas/py_img_seg_eval
Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation
tspthomas/scalable_agent
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
tspthomas/tspthomas.github.io_old
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