qbphilip
This is my professional GitHub account for my position as Data Scientist at @quantumblack Profile picture is a Mondrian Process from infrahumano's notebook.
London
qbphilip's Stars
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
mlflow/mlflow
Open source platform for the machine learning lifecycle
kedro-org/kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
snorkel-team/snorkel
A system for quickly generating training data with weak supervision
feast-dev/feast
The Open Source Feature Store for Machine Learning
Blealtan/efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
Filimoa/open-parse
Improved file parsing for LLM’s
sdv-dev/SDV
Synthetic data generation for tabular data
pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
philipperemy/keras-tcn
Keras Temporal Convolutional Network.
HazyResearch/data-centric-ai
Resources for Data Centric AI
stanfordnmbl/osim-rl
Reinforcement learning environments with musculoskeletal models
NVIDIA/spark-rapids
Spark RAPIDS plugin - accelerate Apache Spark with GPUs
xunzheng/notears
DAGs with NO TEARS: Continuous Optimization for Structure Learning
trailofbits/fickling
A Python pickling decompiler and static analyzer
mckinsey/qbstyles
QuantumBlack Matplotlib styles
d909b/cxplain
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.