lonexreb's Stars
deepanshu1422/List-Of-Open-Source-Internships-Programs
A curated list of all the open-source internships/Programs
DavidCico/Self-implementation-of-KNN-algorithm
A k-nearest neighbors algorithm is implemented in Python from scratch to perform a classification or regression analysis.
pranayom/KNN-implementation-from-scratch
KNN is one of the famous classification algorithms. Here I have tried to implement it from scratch on a real life dataset and compared the accuracy by running it again on scikit learn
mlds-lab/COMPSCI-589
Open source applied machine learning course
PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
guilbera/colorizing
Colorizing Black and White Image using Deep Learning
dpkravi/DecisionTreeClassifier
C4.5 implementation using python
suno-ai/bark
🔊 Text-Prompted Generative Audio Model
AI4Finance-Foundation/RLSolver
Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.
Stability-AI/StableLM
StableLM: Stability AI Language Models
ChenyangLEI/automatic-video-colorization
[CVPR2019] Fully Automatic Video Colorization with Self-Regularization and Diversity
MarkMoHR/Awesome-Image-Colorization
:books: A collection of Deep Learning based Image Colorization and Video Colorization papers.
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
ossu/bioinformatics
:microscope: Path to a free self-taught education in Bioinformatics!
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
gabegraves/hacklytics2023
EV Swarm Charging Planning
billray0259/stockbot_2021
This project applies machine learning, in the form of recurrent and convolutional neural networks, to intra-day candlestick stock market data to generate a profitable trading strategy.
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
onsonr/sonr
TheAlgorithms/C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
CSB5/TUGDA
TUGDA is a novel multi-task unsupervised domain adaptation method that leverages transfer learning from tasks/domains in a unified framework.