guamian's Stars
google-research/bert
TensorFlow code and pre-trained models for BERT
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
onnx/onnx
Open standard for machine learning interoperability
karpathy/llama2.c
Inference Llama 2 in one file of pure C
plotly/plotly.py
The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
pybind/pybind11
Seamless operability between C++11 and Python
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
yandexdataschool/nlp_course
YSDA course in Natural Language Processing
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
vaexio/vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
hediet/vscode-debug-visualizer
An extension for VS Code that visualizes data during debugging.
Nyandwi/machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
pytorch/ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
hunkim/PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
webdataset/webdataset
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
scverse/scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data
holoviz/hvplot
A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews
nnaisense/evotorch
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
schemedoc/awesome-scheme
A curated list of awesome Scheme libraries and resources
team-approx-bayes/dl-with-bayes
Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
vijaydwivedi75/gnn-lspe
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
py-pdf/benchmarks
Benchmarking PDF libraries
themetaschemer/malt
Machine Learning Toolkit accompanying The Little Learner by Daniel P. Friedman and Anurag Mendhekar
graphcore/poptorch
PyTorch interface for the IPU
panyang/AINLP-Archive
Archive for AINLP History Article
sicara/gpumonitor
TF 2.x and PyTorch Lightning Callbacks for GPU monitoring
mayurbhole/Neural-Network-framework-using-Backpropogation-in-C
Neural Network framework using Backpropogation in C
thunlp/GP-GNN
Code and dataset of ACL2019 Paper: Graph Neural Networks with Generated Parameters for Relation Extraction.
toshihikoyanase/optuna-examples-prototype