Explore Projects
Discover 162 open source projects
Showing 101-120 of 162 projects
ucbrise/clipper
A low-latency prediction-serving system written in C++ for AI and ML applications.
xFFFFF/Gekko-Strategies
A collection of trading strategies and tools for the Gekko trading bot, with backtesting results.
Ceruleanacg/Personae
Personae is a repo for implementing and experimenting with Deep Reinforcement Learning and Supervised Learning for Quantitative Trading.
wangzheallen/awesome-human-pose-estimation
A comprehensive collection of human pose estimation research papers and resources.
reczoo/FuxiCTR
A configurable, tunable, and reproducible library for CTR prediction in Python with PyTorch support.
open-mmlab/mmfashion
An open-source toolbox for visual fashion analysis based on PyTorch, focused on tasks like attribute prediction and clothes retrieval.
do-mpc/do-mpc
do-mpc is a Python toolbox for Model Predictive Control (MPC), focusing on optimization-based control methods.
BrokenSource/DepthFlow
A free and open-source tool that converts images to 3D parallax effect videos using AI depth estimation.
kaz-Anova/StackNet
StackNet is a scalable meta-modeling framework for building high-performance predictive models.
albermax/innvestigate
A Python toolbox to investigate neural networks' predictions and understand model behavior.
chickenbestlover/RNN-Time-series-Anomaly-Detection
A Pytorch-based RNN model for anomaly detection in time-series data.
pnnl/neuromancer
A PyTorch-based framework for solving constrained optimization problems, physics-informed ML, and parametric model predictive control.
palash1992/GEM
A Python library for learning graph embeddings and applying them to tasks like link prediction.
xinychen/transdim
A machine learning library for transportation data imputation and prediction.
leofan90/Awesome-World-Models
A comprehensive list of papers on World Models, a technique for general video generation, embodied AI, and autonomous driving.
tum-pbs/pbdl-book
Physics-based Deep Learning Book v0.3 - a comprehensive resource for AI developers
TheEconomist/us-potus-model
This is a dynamic multilevel Bayesian model for predicting US presidential elections, written in R and Stan.
christophschuhmann/improved-aesthetic-predictor
A Python library that uses CLIP and MLP to predict the aesthetic score of images, useful for vibe coders.
acados/acados
Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control
xuehaouwa/Awesome-Trajectory-Prediction
This is an open-source library for trajectory prediction, which could be useful for developers working on AI-powered applications.
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