chaveza9
Robotics engineer with passion for machine learning, motion planning, and autonomous navigation.
Boston UniversityBoston, MA
chaveza9's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
nicklashansen/tdmpc
Code for "Temporal Difference Learning for Model Predictive Control"
RuslanAgishev/motion_planning
Robot path planning, mapping and exploration algorithms
wzzheng/GenAD
[ECCV 2024] GenAD: Generative End-to-End Autonomous Driving
jchengai/pluto
PLUTO: Push the Limit of Imitation Learning-based Planning for Autonomous Driving
jchengai/planTF
[ICRA'2024] Rethinking Imitation-based Planner for Autonomous Driving
Haoran-SONG/PiP-Planning-informed-Prediction
(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving
Y-debug-sys/Diffusion-TS
[ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"
LeCAR-Lab/model-based-diffusion
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynamics model to run the reverse denoising process to generate high-quality trajectories.
autonomousvision/sledge
[ECCV'24] SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic
amazon-science/unconditional-time-series-diffusion
Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"
based-robotics/jaxadi
Transforms your CasADi functions into batchable JAX-compatible functions. By combining the power of CasADi with the flexibility of JAX, JAXADi enables the creation of efficient code that runs smoothly on CPUs, GPUs, and TPUs.
HorizonRobotics/GUMP
Generative model for Unified Motion Planning tasks
jacarvalho/mpd-public
Implementation of Motion Planning Diffusion
tsinghua-fib-lab/LCSim
LCSim: A Large-Scale Controllable Traffic Simulator
TRI-ML/RAP
This is the official code for the paper RAP: Risk-Aware Prediction for Robust Planning: https://arxiv.org/abs/2210.01368
KIT-MRT/future-motion
Common repo for our ongoing research on motion forecasting for self-driving cars
YixiaoWang7/OptTrajDiff
utiasDSL/fmpc_socp
Code for "Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter"
gerdm/rebayes-mini
Minimalist version of probml/rebayes
ShlezingerLab/AI_Aided_KFs
ZikangXiong/STL-Mobile-Robot
Turn STL formulas into maps and planed paths, control robots with DRL controllers.
arunkumar-singh/RKHS_Stochastic_Traj_Opt
Repository associated with our IROS 2023 submission. The repo contains trajectory optimizers for planning under multi-modal uncertainty.
engyasin/SLRL
Supervised and Reinforcement Learning Traffic Simulation Model
haldunbalim/Meta-Output-Predictor