raulojeda22

raulojeda22's Stars

• alexfrom0815/Online-3D-BPP-PCT

  Code implementation of "Learning Efficient Online 3D Bin Packing on Packing Configuration Trees". We propose to enhance the practical applicability of online 3D Bin Packing Problem (BPP) via learning on a hierarchical packing configuration tree which makes the deep reinforcement learning (DRL) model easy to deal with practical constraints and well-performing even with continuous solution space.

  Language:Python23845

• wknechtel/3d-bin-pack

  A set of C programs that calculate the best fit for boxes on a pallet, and visualize the result.

  Language:C10249

• makramchahine/drone_causality

  Training, data processing, and analysis code used for the paper "Robust Visual Flight Navigation with Liquid Neural Networks".

  Language:Python5720

• openworm/OpenWorm

  Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues

  Language:Python2.7k205

• SharpAI/DeepCamera

  Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

  Language:JavaScript1.8k310

• lihuang3/ur5_ROS-Gazebo

  Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers

  Language:Python431132

• raminmh/liquid_time_constant_networks

  Code Repository for Liquid Time-Constant Networks (LTCs)

  Language:Python1.4k268

• mlech26l/ncps

  PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

  Language:Python1.9k311

• ValerioMagnago/robotiq_tcp

  C++ interface for robotiq epick gripper

  Language:C++81

• Unity-Technologies/Robotics-Object-Pose-Estimation

  A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

  Language:Python28574

• Unity-Technologies/com.unity.perception

  Perception toolkit for sim2real training and validation in Unity

  Language:C#906175

• hackerschoice/thc-btc-rng-bruteforce

  Language:C4825

• Wilfred/difftastic

  a structural diff that understands syntax 🟥🟩

  Language:Rust20.5k331

• wagner-group/diversevul

  DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection (RAID 2023) https://surrealyz.github.io/files/pubs/raid23-diversevul.pdf

  934

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21k3.6k

• cedricrupb/code_ast

  Fast and robust AST parsing of any language

  Language:Python226

• cedricrupb/code_diff

  Fast AST based code differencing in Python

  Language:Python227

• cedricrupb/code_graph

  Fast program graph generation in Python

  Language:Python3

• cedricrupb/code_tokenize

  Fast tokenization and structural analysis of any programming language

  Language:Python428

• tree-sitter/tree-sitter

  An incremental parsing system for programming tools

  Language:Rust18.1k1.4k

• github/semantic

  Parsing, analyzing, and comparing source code across many languages

  Language:Haskell8.9k454

• google-research/meliad

  Language:Python24329

• RParedesPalacios/APR_LAB

  APR LAB 1, MultiLayer Perceptron

  Language:Jupyter Notebook52

• cpacker/MemGPT

  Create LLM agents with long-term memory and custom tools 📚🦙

  Language:Python11.4k1.2k

• SerCeMan/fontogen

  Hey, Computer, Make Me a Font

  Language:Python44626

• vitoplantamura/OnnxStream

  Lightweight inference library for ONNX files, written in C++. It can run SDXL on a RPI Zero 2 but also Mistral 7B on desktops and servers.

  Language:C++1.8k79

• skanaar/nomnoml

  The sassy UML diagram renderer

  Language:TypeScript2.7k209

• yandexdataschool/Practical_DL

  DL course co-developed by YSDA, HSE and Skoltech

  Language:Jupyter Notebook1.5k633

• tinygrad/tinygrad

  You like pytorch? You like micrograd? You love tinygrad! ❤️

  Language:Python26.2k2.9k

• synacktiv/php_filter_chain_generator

  Language:Python63966