TomPham97's Stars
CompVis/stable-diffusion
A latent text-to-image diffusion model
exelban/stats
macOS system monitor in your menu bar
MonitorControl/MonitorControl
🖥 Control your display's brightness & volume on your Mac as if it was a native Apple Display. Use Apple Keyboard keys or custom shortcuts. Shows the native macOS OSDs.
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
modular/mojo
The Mojo Programming Language
shap/shap
A game theoretic approach to explain the output of any machine learning model.
squidfunk/mkdocs-material
Documentation that simply works
mkdocs/mkdocs
Project documentation with Markdown.
onnx/onnx
Open standard for machine learning interoperability
pock/pock
Widgets manager for MacBook Touch Bar
addyosmani/critical
Extract & Inline Critical-path CSS in HTML pages
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
giscus/giscus
A comment system powered by GitHub Discussions. :octocat: :speech_balloon: :gem:
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Sygil-Dev/sygil-webui
Stable Diffusion web UI
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
jina-ai/discoart
🪩 Create Disco Diffusion artworks in one line
neuralmagic/deepsparse
Sparsity-aware deep learning inference runtime for CPUs
huggingface/course
The Hugging Face course on Transformers
abhishekkrthakur/colabcode
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
mkdocstrings/mkdocstrings
:blue_book: Automatic documentation from sources, for MkDocs.
altryne/awesome-ai-art-image-synthesis
A list of awesome tools, ideas, prompt engineering tools, colabs, models, and helpers for the prompt designer playing with aiArt and image synthesis. Covers Dalle2, MidJourney, StableDiffusion, and open source tools.
addyosmani/critical-path-css-demo
Above-the-fold CSS generation + inlining using Critical & Gulp
altryne/sd-webui-colab
A repo for the maintenance of the Colab version of stable-diffusion-webui repo
neuralmagic/sparsify
ML model optimization product to accelerate inference.
JoaoLages/diffusers-interpret
Diffusers-Interpret 🤗🧨🕵️♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.
fastai/fastdiffusion
Notes and plans for fastdiffusion course
jsynowiec/vscode-insertdatestring
An extension for Visual Studio Code that provides a configurable command for inserting the current date and time
kulin-patel/Hand-Tracking
Identifying hand with 21 landmarks. It can also track movement.