jensqin
Zhen is a machine learning engineer at Big League Advance. He focuses on developing predictive models. Prediction is the essence of intelligence.
Big Leage AdvanceWashington, DC
jensqin's Stars
astral-sh/ruff
An extremely fast Python linter and code formatter, written in Rust.
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
badges/shields
Concise, consistent, and legible badges in SVG and raster format
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
state-spaces/mamba
Mamba SSM architecture
pydantic/FastUI
Build better UIs faster.
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
pdm-project/pdm
A modern Python package and dependency manager supporting the latest PEP standards
mlpack/mlpack
mlpack: a fast, header-only C++ machine learning library
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
pytorch/captum
Model interpretability and understanding for PyTorch
lucidrains/x-transformers
A concise but complete full-attention transformer with a set of promising experimental features from various papers
d2l-ai/berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
facebookresearch/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
fbdesignpro/sweetviz
Visualize and compare datasets, target values and associations, with one line of code.
eugeneyan/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
delta-io/delta-rs
A native Rust library for Delta Lake, with bindings into Python
google-deepmind/optax
Optax is a gradient processing and optimization library for JAX.
sourcery-ai/sourcery
Instant AI code reviews
manujosephv/pytorch_tabular
A standard framework for modelling Deep Learning Models for tabular data
TorchEnsemble-Community/Ensemble-Pytorch
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
isl-org/MultiObjectiveOptimization
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
facebookresearch/barlowtwins
PyTorch implementation of Barlow Twins.
scipopt/PySCIPOpt
Python interface for the SCIP Optimization Suite
rll/deepul
swansonk14/typed-argument-parser
Typed argument parser for Python