Benetti-Hub's Stars
google/lightweight_mmm
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
DoubleML/doubleml-for-py
DoubleML - Double Machine Learning in Python
hhatto/autopep8
A tool that automatically formats Python code to conform to the PEP 8 style guide.
mainmatter/100-exercises-to-learn-rust
A self-paced course to learn Rust, one exercise at a time.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
mlc-ai/web-llm
High-performance In-browser LLM Inference Engine
awslabs/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
abi/secret-llama
Fully private LLM chatbot that runs entirely with a browser with no server needed. Supports Mistral and LLama 3.
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
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)
espnet/espnet
End-to-End Speech Processing Toolkit
adam-maj/tiny-gpu
A minimal GPU design in Verilog to learn how GPUs work from the ground up
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.
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
nektos/act
Run your GitHub Actions locally 🚀
NVIDIA/Megatron-LM
Ongoing research training transformer models at scale
rapidsai/cudf
cuDF - GPU DataFrame Library
carbon-language/carbon-lang
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
NVIDIA/TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
facebookresearch/nevergrad
A Python toolbox for performing gradient-free optimization
mit-han-lab/torchquantum
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
openai/tiktoken
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
bookingcom/upliftml
UpliftML: A Python Package for Scalable Uplift Modeling
altdeep/causalML
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.