haynaou's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
astral-sh/ruff
An extremely fast Python linter and code formatter, written in Rust.
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
roboflow/supervision
We write your reusable computer vision tools. 💜
state-spaces/mamba
Mamba SSM architecture
eza-community/eza
A modern alternative to ls
stas00/ml-engineering
Machine Learning Engineering Open Book
karpathy/minbpe
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
aishwaryanr/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
LargeWorldModel/LWM
reorproject/reor
Private & local AI personal knowledge management app.
OpenDriveLab/UniAD
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
sgrvinod/a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
BolajiAyodeji/awesome-technical-writing
:books: A curated list of awesome resources: articles, books, videos, tools, podcasts about technical writing.
JifuZhao/DS-Take-Home
My solution to the book A Collection of Data Science Take-Home Challenges
WassimBenzarti/colab-ssh
Connect to Google Colab using SSH
raspberrypi/picamera2
New libcamera based python library
NVlabs/FB-BEV
Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception
OpenDriveLab/OpenLane-V2
[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving
markriedl/transformer-walkthrough
A walkthrough of transformer architecture code
sea-bass/pyrobosim
ROS 2 enabled 2D mobile robot simulator for behavior prototyping.
Eaphan/GLENet
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]
younader/Vesuvius-First-Letters
robot-motion/bench-mr
Motion Planning Benchmark
seddonym/impulse
Impulse is a command line tool for exploring the imports in a Python package.
jeremyfix/deeplearning-lectures
Deep learning lecture materials
thetarnav/streaming-markdown
Streaming markdown à la ChatGPT (WIP)
allenye66/Deep-Learning-Autonomous-Drones
Here is a conglomeration of file depcting the code we wrote to create an autonomous drone using a CNN-LSTM model to aid in food and package delivery during the 2020 quarantine. Steering Angle Dataset Exploration: Here is where we explored methods in making our CNN-LSTM predictor, as well as coded the final version. We also have graphs for the results of our code. We also define the Gaussian and Edge detection preprocessing functions over here. Yolov3 Bounding Boxes: Here is where we created a transfer learning model from the Yolov3 architecture to find bounding boxes of cars, people, and trees in our images. These bounding boxes were used by our probability model to calculate the probability of collision. Weight determination functions: Here is where we defined the functions user to calculate the probability of colliding into any given object. The final probability determination function can be found in the Yolov3 script, as well as the UserModelLibrary scripts. Data Exploration: Here is where we explored the data intially given to us, and found that the data was abnormally distributed. This helped us deermine the wraparound problem, as well as why our models prediction were near 0 in the early stages of the process. Trial.py: This is the script to fly the actualy drone. UserModelLibraries: This is the final conglomeration of all of our code - the probability functions, models, and pre/post processing function used to run our algorithms. All pictures and graphs are also included in the pictures and graphs photo.
shadanan/codeanim
Tool to animate Visual Studio Code for presentation.
shadanan/cipherly
App for sharing secrets.